Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c149' (ED25519) to the list of known hosts. Running: /usr/bin/copr-rpmbuild --verbose --drop-resultdir --build-id 5831820 --chroot fedora-38-x86_64 --detached Version: 0.64 PID: 10250 Logging PID: 10251 Task: {'appstream': False, 'background': True, 'bootstrap': 'off', 'build_id': 5831820, 'buildroot_pkgs': [], 'chroot': 'fedora-38-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': '05829052a8b8ae8c60f068afe565b1a049e4359e', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-prophet', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'R-CRAN-prophet', 'package_version': '1.0-1.copr5831820', 'project_dirname': 'cran', 'project_name': 'cran', 'project_owner': 'iucar', 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-38-x86_64/', 'id': 'copr_base', 'name': 'Copr repository'}], 'sandbox': 'iucar/cran--iucar', 'source_json': {}, 'source_type': None, 'submitter': 'iucar', 'tags': [], 'task_id': '5831820-fedora-38-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-prophet /var/lib/copr-rpmbuild/workspace/workdir-arf6d9vn/R-CRAN-prophet --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-prophet', '/var/lib/copr-rpmbuild/workspace/workdir-arf6d9vn/R-CRAN-prophet', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-arf6d9vn/R-CRAN-prophet'... Running: git checkout 05829052a8b8ae8c60f068afe565b1a049e4359e cmd: ['git', 'checkout', '05829052a8b8ae8c60f068afe565b1a049e4359e'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-arf6d9vn/R-CRAN-prophet rc: 0 stdout: stderr: Note: switching to '05829052a8b8ae8c60f068afe565b1a049e4359e'. 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 0582905 automatic import of R-CRAN-prophet Running: copr-distgit-client sources cmd: ['copr-distgit-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-arf6d9vn/R-CRAN-prophet 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 prophet_1.0.tar.gz INFO: Calling: curl -H Pragma: -o prophet_1.0.tar.gz --location --remote-time --show-error --fail https://copr-dist-git.fedorainfracloud.org/repo/pkgs/iucar/cran/R-CRAN-prophet/prophet_1.0.tar.gz/md5/8df583834d8cb58ebc4cd5421497d9dd/prophet_1.0.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 225k 100 225k 0 0 2515k 0 --:--:-- --:--:-- --:--:-- 2538k INFO: Reading stdout from command: md5sum prophet_1.0.tar.gz /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --buildsrpm --spec /var/lib/copr-rpmbuild/workspace/workdir-arf6d9vn/R-CRAN-prophet/R-CRAN-prophet.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-arf6d9vn/R-CRAN-prophet --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1682237413.615273 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 3.5 starting (python version = 3.11.0, NVR = mock-3.5-1.fc37)... 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-arf6d9vn/R-CRAN-prophet/R-CRAN-prophet.spec) Config(fedora-38-x86_64) Start: clean chroot Finish: clean chroot Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-38-x86_64-1682237413.615273/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 Mock Version: 3.5 INFO: Mock Version: 3.5 Start: dnf install 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 29 kB/s | 1.5 kB 00:00 Copr repository 11 MB/s | 44 MB 00:04 fedora 454 kB/s | 22 kB 00:00 updates 399 kB/s | 19 kB 00:00 Dependencies resolved. ================================================================================ Package Arch Version Repo Size ================================================================================ Installing group/module packages: bash x86_64 5.2.15-3.fc38 fedora 1.8 M bzip2 x86_64 1.0.8-13.fc38 fedora 52 k coreutils x86_64 9.1-11.fc38 fedora 1.1 M cpio x86_64 2.13-14.fc38 fedora 276 k diffutils x86_64 3.9-1.fc38 fedora 397 k fedora-release-common noarch 38-34 fedora 22 k findutils x86_64 1:4.9.0-3.fc38 fedora 492 k gawk x86_64 5.1.1-5.fc38 fedora 1.0 M glibc-minimal-langpack x86_64 2.37-1.fc38 fedora 35 k grep x86_64 3.8-3.fc38 fedora 293 k gzip x86_64 1.12-3.fc38 fedora 166 k info x86_64 7.0.2-2.fc38 fedora 181 k patch x86_64 2.7.6-19.fc38 fedora 126 k redhat-rpm-config noarch 252-1.fc38 fedora 83 k rpm-build x86_64 4.18.1-1.fc38 fedora 76 k sed x86_64 4.8-12.fc38 fedora 306 k shadow-utils x86_64 2:4.13-6.fc38 fedora 1.3 M tar x86_64 2:1.34-8.fc38 fedora 889 k unzip x86_64 6.0-60.fc38 fedora 184 k util-linux x86_64 2.38.1-4.fc38 fedora 2.3 M which x86_64 2.21-39.fc38 fedora 42 k xz x86_64 5.4.1-1.fc38 fedora 419 k Installing dependencies: alternatives x86_64 1.22-1.fc38 fedora 38 k ansible-srpm-macros noarch 1-9.1.fc38 fedora 8.8 k audit-libs x86_64 3.1-2.fc38 fedora 117 k authselect x86_64 1.4.2-2.fc38 fedora 144 k authselect-libs x86_64 1.4.2-2.fc38 fedora 249 k basesystem noarch 11-15.fc38 fedora 7.0 k binutils x86_64 2.39-9.fc38 fedora 5.4 M binutils-gold x86_64 2.39-9.fc38 fedora 784 k bzip2-libs x86_64 1.0.8-13.fc38 fedora 41 k ca-certificates noarch 2023.2.60-2.fc38 fedora 845 k coreutils-common x86_64 9.1-11.fc38 fedora 2.0 M cracklib x86_64 2.9.7-31.fc38 fedora 92 k crypto-policies noarch 20230301-1.gita12f7b2.fc38 fedora 93 k curl x86_64 7.87.0-7.fc38 fedora 347 k cyrus-sasl-lib x86_64 2.1.28-9.fc38 fedora 794 k debugedit x86_64 5.0-7.fc38 fedora 78 k dwz x86_64 0.15-2.fc38 fedora 135 k ed x86_64 1.19-2.fc38 fedora 78 k efi-srpm-macros noarch 5-7.fc38 fedora 22 k elfutils x86_64 0.189-1.fc38 fedora 536 k elfutils-debuginfod-client x86_64 0.189-1.fc38 fedora 39 k elfutils-default-yama-scope noarch 0.189-1.fc38 fedora 15 k elfutils-libelf x86_64 0.189-1.fc38 fedora 196 k elfutils-libs x86_64 0.189-1.fc38 fedora 260 k fedora-gpg-keys noarch 38-1 fedora 126 k fedora-release noarch 38-34 fedora 12 k fedora-release-identity-basic noarch 38-34 fedora 13 k fedora-repos noarch 38-1 fedora 9.1 k file x86_64 5.44-3.fc38 fedora 49 k file-libs x86_64 5.44-3.fc38 fedora 730 k filesystem x86_64 3.18-3.fc38 fedora 1.1 M fonts-srpm-macros noarch 1:2.0.5-11.fc38 fedora 26 k fpc-srpm-macros noarch 1.3-7.fc38 fedora 7.8 k gdb-minimal x86_64 13.1-3.fc38 updates 4.2 M gdbm-libs x86_64 1:1.23-3.fc38 fedora 56 k ghc-srpm-macros noarch 1.6.1-1.fc38 fedora 8.0 k glibc x86_64 2.37-1.fc38 fedora 2.1 M glibc-common x86_64 2.37-1.fc38 fedora 313 k glibc-gconv-extra x86_64 2.37-1.fc38 fedora 1.6 M gmp x86_64 1:6.2.1-4.fc38 fedora 313 k gnat-srpm-macros noarch 6-2.fc38 fedora 8.8 k go-srpm-macros noarch 3.2.0-2.fc38 fedora 27 k jansson x86_64 2.13.1-6.fc38 fedora 44 k kernel-srpm-macros noarch 1.0-16.fc38 fedora 9.3 k keyutils-libs x86_64 1.6.1-6.fc38 fedora 31 k krb5-libs x86_64 1.20.1-8.fc38 fedora 727 k libacl x86_64 2.3.1-6.fc38 fedora 23 k libarchive x86_64 3.6.1-4.fc38 fedora 400 k libattr x86_64 2.5.1-6.fc38 fedora 18 k libblkid x86_64 2.38.1-4.fc38 fedora 106 k libbrotli x86_64 1.0.9-11.fc38 fedora 317 k libcap x86_64 2.48-6.fc38 fedora 67 k libcap-ng x86_64 0.8.3-5.fc38 fedora 32 k libcom_err x86_64 1.46.5-4.fc38 fedora 26 k libcurl x86_64 7.87.0-7.fc38 fedora 304 k libdb x86_64 5.3.28-55.fc38 fedora 758 k libeconf x86_64 0.4.0-5.fc38 fedora 27 k libevent x86_64 2.1.12-8.fc38 fedora 257 k libfdisk x86_64 2.38.1-4.fc38 fedora 161 k libffi x86_64 3.4.4-2.fc38 fedora 38 k libgcc x86_64 13.0.1-0.12.fc38 fedora 104 k libgomp x86_64 13.0.1-0.12.fc38 fedora 313 k libidn2 x86_64 2.3.4-2.fc38 fedora 160 k libmount x86_64 2.38.1-4.fc38 fedora 135 k libnghttp2 x86_64 1.52.0-1.fc38 fedora 75 k libnsl2 x86_64 2.0.0-5.fc38 fedora 30 k libpkgconf x86_64 1.8.0-6.fc38 fedora 35 k libpsl x86_64 0.21.2-2.fc38 fedora 65 k libpwquality x86_64 1.4.5-3.fc38 fedora 119 k libselinux x86_64 3.5-1.fc38 fedora 87 k libsemanage x86_64 3.5-2.fc38 fedora 120 k libsepol x86_64 3.5-1.fc38 fedora 324 k libsigsegv x86_64 2.14-4.fc38 fedora 27 k libsmartcols x86_64 2.38.1-4.fc38 fedora 64 k libssh x86_64 0.10.4-4.fc38 fedora 209 k libssh-config noarch 0.10.4-4.fc38 fedora 8.9 k libstdc++ x86_64 13.0.1-0.12.fc38 fedora 858 k libtasn1 x86_64 4.19.0-2.fc38 fedora 74 k libtirpc x86_64 1.3.3-1.fc38 fedora 94 k libunistring1.0 x86_64 1.0-1.fc38 fedora 539 k libutempter x86_64 1.2.1-8.fc38 fedora 26 k libuuid x86_64 2.38.1-4.fc38 fedora 28 k libverto x86_64 0.3.2-5.fc38 fedora 21 k libxcrypt x86_64 4.4.33-7.fc38 fedora 120 k libxml2 x86_64 2.10.4-1.fc38 updates 701 k libzstd x86_64 1.5.5-1.fc38 updates 308 k lua-libs x86_64 5.4.4-9.fc38 fedora 133 k lua-srpm-macros noarch 1-8.fc38 fedora 8.6 k lz4-libs x86_64 1.9.4-2.fc38 fedora 67 k mpfr x86_64 4.1.1-3.fc38 fedora 600 k ncurses-base noarch 6.4-3.20230114.fc38 fedora 87 k ncurses-libs x86_64 6.4-3.20230114.fc38 fedora 333 k ocaml-srpm-macros noarch 7-3.fc38 fedora 13 k openblas-srpm-macros noarch 2-13.fc38 fedora 7.5 k openldap x86_64 2.6.4-1.fc38 fedora 254 k openssl-libs x86_64 1:3.0.8-2.fc38 fedora 2.1 M p11-kit x86_64 0.24.1-6.fc38 fedora 359 k p11-kit-trust x86_64 0.24.1-6.fc38 fedora 136 k package-notes-srpm-macros noarch 0.5-7.fc38 fedora 11 k pam x86_64 1.5.2-16.fc38 fedora 560 k pam-libs x86_64 1.5.2-16.fc38 fedora 58 k pcre2 x86_64 10.42-1.fc38.1 fedora 234 k pcre2-syntax noarch 10.42-1.fc38.1 fedora 144 k perl-srpm-macros noarch 1-48.fc38 fedora 8.4 k pkgconf x86_64 1.8.0-6.fc38 fedora 41 k pkgconf-m4 noarch 1.8.0-6.fc38 fedora 14 k pkgconf-pkg-config x86_64 1.8.0-6.fc38 fedora 9.6 k popt x86_64 1.19-2.fc38 fedora 67 k publicsuffix-list-dafsa noarch 20230318-1.fc38 fedora 60 k pyproject-srpm-macros noarch 1.6.3-1.fc38 fedora 14 k python-srpm-macros noarch 3.11-10.fc38 fedora 26 k qt5-srpm-macros noarch 5.15.9-1.fc38 updates 8.1 k readline x86_64 8.2-3.fc38 fedora 212 k rpm x86_64 4.18.1-1.fc38 fedora 571 k rpm-build-libs x86_64 4.18.1-1.fc38 fedora 94 k rpm-libs x86_64 4.18.1-1.fc38 fedora 313 k rpm-sequoia x86_64 1.4.0-1.fc38 updates 851 k rpmautospec-rpm-macros noarch 0.3.5-1.fc38 fedora 9.3 k rust-srpm-macros noarch 24-1.fc38 fedora 12 k setup noarch 2.14.3-2.fc38 fedora 152 k sqlite-libs x86_64 3.40.1-2.fc38 fedora 666 k systemd-libs x86_64 253.2-1.fc38 fedora 654 k tzdata noarch 2023c-1.fc38 fedora 718 k util-linux-core x86_64 2.38.1-4.fc38 fedora 473 k xxhash-libs x86_64 0.8.1-4.fc38 fedora 40 k xz-libs x86_64 5.4.1-1.fc38 fedora 108 k zip x86_64 3.0-36.fc38 fedora 265 k zlib x86_64 1.2.13-3.fc38 fedora 95 k zstd x86_64 1.5.5-1.fc38 updates 482 k Installing Groups: Buildsystem building group Transaction Summary ================================================================================ Install 151 Packages Total size: 53 M Installed size: 183 M Downloading Packages: [SKIPPED] alternatives-1.22-1.fc38.x86_64.rpm: Already downloaded [SKIPPED] ansible-srpm-macros-1-9.1.fc38.noarch.rpm: Already downloaded [SKIPPED] audit-libs-3.1-2.fc38.x86_64.rpm: Already downloaded [SKIPPED] authselect-1.4.2-2.fc38.x86_64.rpm: Already downloaded [SKIPPED] authselect-libs-1.4.2-2.fc38.x86_64.rpm: Already downloaded [SKIPPED] basesystem-11-15.fc38.noarch.rpm: Already downloaded [SKIPPED] bash-5.2.15-3.fc38.x86_64.rpm: Already downloaded [SKIPPED] binutils-2.39-9.fc38.x86_64.rpm: Already downloaded [SKIPPED] binutils-gold-2.39-9.fc38.x86_64.rpm: Already downloaded [SKIPPED] bzip2-1.0.8-13.fc38.x86_64.rpm: Already downloaded [SKIPPED] bzip2-libs-1.0.8-13.fc38.x86_64.rpm: Already downloaded [SKIPPED] ca-certificates-2023.2.60-2.fc38.noarch.rpm: Already downloaded [SKIPPED] coreutils-9.1-11.fc38.x86_64.rpm: Already downloaded [SKIPPED] coreutils-common-9.1-11.fc38.x86_64.rpm: Already downloaded [SKIPPED] cpio-2.13-14.fc38.x86_64.rpm: Already downloaded [SKIPPED] cracklib-2.9.7-31.fc38.x86_64.rpm: Already downloaded [SKIPPED] crypto-policies-20230301-1.gita12f7b2.fc38.noarch.rpm: Already downloaded [SKIPPED] curl-7.87.0-7.fc38.x86_64.rpm: Already downloaded [SKIPPED] cyrus-sasl-lib-2.1.28-9.fc38.x86_64.rpm: Already downloaded [SKIPPED] debugedit-5.0-7.fc38.x86_64.rpm: Already downloaded [SKIPPED] diffutils-3.9-1.fc38.x86_64.rpm: Already downloaded [SKIPPED] dwz-0.15-2.fc38.x86_64.rpm: Already downloaded [SKIPPED] ed-1.19-2.fc38.x86_64.rpm: Already downloaded [SKIPPED] efi-srpm-macros-5-7.fc38.noarch.rpm: Already downloaded [SKIPPED] elfutils-0.189-1.fc38.x86_64.rpm: Already downloaded [SKIPPED] elfutils-debuginfod-client-0.189-1.fc38.x86_64.rpm: Already 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krb5-libs-1.20.1-8.fc38.x86_64.rpm: Already downloaded [SKIPPED] libacl-2.3.1-6.fc38.x86_64.rpm: Already downloaded [SKIPPED] libarchive-3.6.1-4.fc38.x86_64.rpm: Already downloaded [SKIPPED] libattr-2.5.1-6.fc38.x86_64.rpm: Already downloaded [SKIPPED] libblkid-2.38.1-4.fc38.x86_64.rpm: Already downloaded [SKIPPED] libbrotli-1.0.9-11.fc38.x86_64.rpm: Already downloaded [SKIPPED] libcap-2.48-6.fc38.x86_64.rpm: Already downloaded [SKIPPED] libcap-ng-0.8.3-5.fc38.x86_64.rpm: Already downloaded [SKIPPED] libcom_err-1.46.5-4.fc38.x86_64.rpm: Already downloaded [SKIPPED] libcurl-7.87.0-7.fc38.x86_64.rpm: Already downloaded [SKIPPED] libdb-5.3.28-55.fc38.x86_64.rpm: Already downloaded [SKIPPED] libeconf-0.4.0-5.fc38.x86_64.rpm: Already downloaded [SKIPPED] libevent-2.1.12-8.fc38.x86_64.rpm: Already downloaded [SKIPPED] libfdisk-2.38.1-4.fc38.x86_64.rpm: Already downloaded [SKIPPED] libffi-3.4.4-2.fc38.x86_64.rpm: Already downloaded [SKIPPED] libgcc-13.0.1-0.12.fc38.x86_64.rpm: Already 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[SKIPPED] qt5-srpm-macros-5.15.9-1.fc38.noarch.rpm: Already downloaded [SKIPPED] rpm-sequoia-1.4.0-1.fc38.x86_64.rpm: Already downloaded [SKIPPED] zstd-1.5.5-1.fc38.x86_64.rpm: Already downloaded fedora 1.6 MB/s | 1.6 kB 00:00 Importing GPG key 0xEB10B464: Userid : "Fedora (38) " Fingerprint: 6A51 BBAB BA3D 5467 B617 1221 809A 8D7C EB10 B464 From : /usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-38-primary Key imported successfully Running transaction check Transaction check succeeded. Running transaction test Transaction test succeeded. 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cracklib-2.9.7-31.fc38.x86_64 16/151 Verifying : crypto-policies-20230301-1.gita12f7b2.fc38.noarc 17/151 Verifying : curl-7.87.0-7.fc38.x86_64 18/151 Verifying : cyrus-sasl-lib-2.1.28-9.fc38.x86_64 19/151 Verifying : debugedit-5.0-7.fc38.x86_64 20/151 Verifying : diffutils-3.9-1.fc38.x86_64 21/151 Verifying : dwz-0.15-2.fc38.x86_64 22/151 Verifying : ed-1.19-2.fc38.x86_64 23/151 Verifying : efi-srpm-macros-5-7.fc38.noarch 24/151 Verifying : elfutils-0.189-1.fc38.x86_64 25/151 Verifying : elfutils-debuginfod-client-0.189-1.fc38.x86_64 26/151 Verifying : elfutils-default-yama-scope-0.189-1.fc38.noarch 27/151 Verifying : elfutils-libelf-0.189-1.fc38.x86_64 28/151 Verifying : elfutils-libs-0.189-1.fc38.x86_64 29/151 Verifying : fedora-gpg-keys-38-1.noarch 30/151 Verifying : fedora-release-38-34.noarch 31/151 Verifying : fedora-release-common-38-34.noarch 32/151 Verifying : fedora-release-identity-basic-38-34.noarch 33/151 Verifying : fedora-repos-38-1.noarch 34/151 Verifying : file-5.44-3.fc38.x86_64 35/151 Verifying : file-libs-5.44-3.fc38.x86_64 36/151 Verifying : filesystem-3.18-3.fc38.x86_64 37/151 Verifying : findutils-1:4.9.0-3.fc38.x86_64 38/151 Verifying : fonts-srpm-macros-1:2.0.5-11.fc38.noarch 39/151 Verifying : fpc-srpm-macros-1.3-7.fc38.noarch 40/151 Verifying : gawk-5.1.1-5.fc38.x86_64 41/151 Verifying : gdbm-libs-1:1.23-3.fc38.x86_64 42/151 Verifying : ghc-srpm-macros-1.6.1-1.fc38.noarch 43/151 Verifying : glibc-2.37-1.fc38.x86_64 44/151 Verifying : glibc-common-2.37-1.fc38.x86_64 45/151 Verifying : glibc-gconv-extra-2.37-1.fc38.x86_64 46/151 Verifying : glibc-minimal-langpack-2.37-1.fc38.x86_64 47/151 Verifying : gmp-1:6.2.1-4.fc38.x86_64 48/151 Verifying : gnat-srpm-macros-6-2.fc38.noarch 49/151 Verifying : go-srpm-macros-3.2.0-2.fc38.noarch 50/151 Verifying : grep-3.8-3.fc38.x86_64 51/151 Verifying : gzip-1.12-3.fc38.x86_64 52/151 Verifying : info-7.0.2-2.fc38.x86_64 53/151 Verifying : jansson-2.13.1-6.fc38.x86_64 54/151 Verifying : kernel-srpm-macros-1.0-16.fc38.noarch 55/151 Verifying : keyutils-libs-1.6.1-6.fc38.x86_64 56/151 Verifying : krb5-libs-1.20.1-8.fc38.x86_64 57/151 Verifying : libacl-2.3.1-6.fc38.x86_64 58/151 Verifying : libarchive-3.6.1-4.fc38.x86_64 59/151 Verifying : libattr-2.5.1-6.fc38.x86_64 60/151 Verifying : libblkid-2.38.1-4.fc38.x86_64 61/151 Verifying : libbrotli-1.0.9-11.fc38.x86_64 62/151 Verifying : libcap-2.48-6.fc38.x86_64 63/151 Verifying : libcap-ng-0.8.3-5.fc38.x86_64 64/151 Verifying : libcom_err-1.46.5-4.fc38.x86_64 65/151 Verifying : libcurl-7.87.0-7.fc38.x86_64 66/151 Verifying : libdb-5.3.28-55.fc38.x86_64 67/151 Verifying : libeconf-0.4.0-5.fc38.x86_64 68/151 Verifying : libevent-2.1.12-8.fc38.x86_64 69/151 Verifying : libfdisk-2.38.1-4.fc38.x86_64 70/151 Verifying : libffi-3.4.4-2.fc38.x86_64 71/151 Verifying : libgcc-13.0.1-0.12.fc38.x86_64 72/151 Verifying : libgomp-13.0.1-0.12.fc38.x86_64 73/151 Verifying : libidn2-2.3.4-2.fc38.x86_64 74/151 Verifying : libmount-2.38.1-4.fc38.x86_64 75/151 Verifying : libnghttp2-1.52.0-1.fc38.x86_64 76/151 Verifying : libnsl2-2.0.0-5.fc38.x86_64 77/151 Verifying : libpkgconf-1.8.0-6.fc38.x86_64 78/151 Verifying : libpsl-0.21.2-2.fc38.x86_64 79/151 Verifying : libpwquality-1.4.5-3.fc38.x86_64 80/151 Verifying : libselinux-3.5-1.fc38.x86_64 81/151 Verifying : libsemanage-3.5-2.fc38.x86_64 82/151 Verifying : libsepol-3.5-1.fc38.x86_64 83/151 Verifying : libsigsegv-2.14-4.fc38.x86_64 84/151 Verifying : libsmartcols-2.38.1-4.fc38.x86_64 85/151 Verifying : libssh-0.10.4-4.fc38.x86_64 86/151 Verifying : libssh-config-0.10.4-4.fc38.noarch 87/151 Verifying : libstdc++-13.0.1-0.12.fc38.x86_64 88/151 Verifying : libtasn1-4.19.0-2.fc38.x86_64 89/151 Verifying : libtirpc-1.3.3-1.fc38.x86_64 90/151 Verifying : libunistring1.0-1.0-1.fc38.x86_64 91/151 Verifying : libutempter-1.2.1-8.fc38.x86_64 92/151 Verifying : libuuid-2.38.1-4.fc38.x86_64 93/151 Verifying : libverto-0.3.2-5.fc38.x86_64 94/151 Verifying : libxcrypt-4.4.33-7.fc38.x86_64 95/151 Verifying : lua-libs-5.4.4-9.fc38.x86_64 96/151 Verifying : lua-srpm-macros-1-8.fc38.noarch 97/151 Verifying : lz4-libs-1.9.4-2.fc38.x86_64 98/151 Verifying : mpfr-4.1.1-3.fc38.x86_64 99/151 Verifying : ncurses-base-6.4-3.20230114.fc38.noarch 100/151 Verifying : ncurses-libs-6.4-3.20230114.fc38.x86_64 101/151 Verifying : ocaml-srpm-macros-7-3.fc38.noarch 102/151 Verifying : openblas-srpm-macros-2-13.fc38.noarch 103/151 Verifying : openldap-2.6.4-1.fc38.x86_64 104/151 Verifying : openssl-libs-1:3.0.8-2.fc38.x86_64 105/151 Verifying : p11-kit-0.24.1-6.fc38.x86_64 106/151 Verifying : p11-kit-trust-0.24.1-6.fc38.x86_64 107/151 Verifying : package-notes-srpm-macros-0.5-7.fc38.noarch 108/151 Verifying : pam-1.5.2-16.fc38.x86_64 109/151 Verifying : pam-libs-1.5.2-16.fc38.x86_64 110/151 Verifying : patch-2.7.6-19.fc38.x86_64 111/151 Verifying : pcre2-10.42-1.fc38.1.x86_64 112/151 Verifying : pcre2-syntax-10.42-1.fc38.1.noarch 113/151 Verifying : perl-srpm-macros-1-48.fc38.noarch 114/151 Verifying : pkgconf-1.8.0-6.fc38.x86_64 115/151 Verifying : pkgconf-m4-1.8.0-6.fc38.noarch 116/151 Verifying : pkgconf-pkg-config-1.8.0-6.fc38.x86_64 117/151 Verifying : popt-1.19-2.fc38.x86_64 118/151 Verifying : publicsuffix-list-dafsa-20230318-1.fc38.noarch 119/151 Verifying : pyproject-srpm-macros-1.6.3-1.fc38.noarch 120/151 Verifying : python-srpm-macros-3.11-10.fc38.noarch 121/151 Verifying : readline-8.2-3.fc38.x86_64 122/151 Verifying : redhat-rpm-config-252-1.fc38.noarch 123/151 Verifying : rpm-4.18.1-1.fc38.x86_64 124/151 Verifying : rpm-build-4.18.1-1.fc38.x86_64 125/151 Verifying : rpm-build-libs-4.18.1-1.fc38.x86_64 126/151 Verifying : rpm-libs-4.18.1-1.fc38.x86_64 127/151 Verifying : rpmautospec-rpm-macros-0.3.5-1.fc38.noarch 128/151 Verifying : rust-srpm-macros-24-1.fc38.noarch 129/151 Verifying : sed-4.8-12.fc38.x86_64 130/151 Verifying : setup-2.14.3-2.fc38.noarch 131/151 Verifying : shadow-utils-2:4.13-6.fc38.x86_64 132/151 Verifying : sqlite-libs-3.40.1-2.fc38.x86_64 133/151 Verifying : systemd-libs-253.2-1.fc38.x86_64 134/151 Verifying : tar-2:1.34-8.fc38.x86_64 135/151 Verifying : tzdata-2023c-1.fc38.noarch 136/151 Verifying : unzip-6.0-60.fc38.x86_64 137/151 Verifying : util-linux-2.38.1-4.fc38.x86_64 138/151 Verifying : util-linux-core-2.38.1-4.fc38.x86_64 139/151 Verifying : which-2.21-39.fc38.x86_64 140/151 Verifying : xxhash-libs-0.8.1-4.fc38.x86_64 141/151 Verifying : xz-5.4.1-1.fc38.x86_64 142/151 Verifying : xz-libs-5.4.1-1.fc38.x86_64 143/151 Verifying : zip-3.0-36.fc38.x86_64 144/151 Verifying : zlib-1.2.13-3.fc38.x86_64 145/151 Verifying : gdb-minimal-13.1-3.fc38.x86_64 146/151 Verifying : libxml2-2.10.4-1.fc38.x86_64 147/151 Verifying : libzstd-1.5.5-1.fc38.x86_64 148/151 Verifying : qt5-srpm-macros-5.15.9-1.fc38.noarch 149/151 Verifying : rpm-sequoia-1.4.0-1.fc38.x86_64 150/151 Verifying : zstd-1.5.5-1.fc38.x86_64 151/151 Installed products updated. Installed: alternatives-1.22-1.fc38.x86_64 ansible-srpm-macros-1-9.1.fc38.noarch audit-libs-3.1-2.fc38.x86_64 authselect-1.4.2-2.fc38.x86_64 authselect-libs-1.4.2-2.fc38.x86_64 basesystem-11-15.fc38.noarch bash-5.2.15-3.fc38.x86_64 binutils-2.39-9.fc38.x86_64 binutils-gold-2.39-9.fc38.x86_64 bzip2-1.0.8-13.fc38.x86_64 bzip2-libs-1.0.8-13.fc38.x86_64 ca-certificates-2023.2.60-2.fc38.noarch coreutils-9.1-11.fc38.x86_64 coreutils-common-9.1-11.fc38.x86_64 cpio-2.13-14.fc38.x86_64 cracklib-2.9.7-31.fc38.x86_64 crypto-policies-20230301-1.gita12f7b2.fc38.noarch curl-7.87.0-7.fc38.x86_64 cyrus-sasl-lib-2.1.28-9.fc38.x86_64 debugedit-5.0-7.fc38.x86_64 diffutils-3.9-1.fc38.x86_64 dwz-0.15-2.fc38.x86_64 ed-1.19-2.fc38.x86_64 efi-srpm-macros-5-7.fc38.noarch elfutils-0.189-1.fc38.x86_64 elfutils-debuginfod-client-0.189-1.fc38.x86_64 elfutils-default-yama-scope-0.189-1.fc38.noarch elfutils-libelf-0.189-1.fc38.x86_64 elfutils-libs-0.189-1.fc38.x86_64 fedora-gpg-keys-38-1.noarch fedora-release-38-34.noarch fedora-release-common-38-34.noarch fedora-release-identity-basic-38-34.noarch fedora-repos-38-1.noarch file-5.44-3.fc38.x86_64 file-libs-5.44-3.fc38.x86_64 filesystem-3.18-3.fc38.x86_64 findutils-1:4.9.0-3.fc38.x86_64 fonts-srpm-macros-1:2.0.5-11.fc38.noarch fpc-srpm-macros-1.3-7.fc38.noarch gawk-5.1.1-5.fc38.x86_64 gdb-minimal-13.1-3.fc38.x86_64 gdbm-libs-1:1.23-3.fc38.x86_64 ghc-srpm-macros-1.6.1-1.fc38.noarch glibc-2.37-1.fc38.x86_64 glibc-common-2.37-1.fc38.x86_64 glibc-gconv-extra-2.37-1.fc38.x86_64 glibc-minimal-langpack-2.37-1.fc38.x86_64 gmp-1:6.2.1-4.fc38.x86_64 gnat-srpm-macros-6-2.fc38.noarch go-srpm-macros-3.2.0-2.fc38.noarch grep-3.8-3.fc38.x86_64 gzip-1.12-3.fc38.x86_64 info-7.0.2-2.fc38.x86_64 jansson-2.13.1-6.fc38.x86_64 kernel-srpm-macros-1.0-16.fc38.noarch keyutils-libs-1.6.1-6.fc38.x86_64 krb5-libs-1.20.1-8.fc38.x86_64 libacl-2.3.1-6.fc38.x86_64 libarchive-3.6.1-4.fc38.x86_64 libattr-2.5.1-6.fc38.x86_64 libblkid-2.38.1-4.fc38.x86_64 libbrotli-1.0.9-11.fc38.x86_64 libcap-2.48-6.fc38.x86_64 libcap-ng-0.8.3-5.fc38.x86_64 libcom_err-1.46.5-4.fc38.x86_64 libcurl-7.87.0-7.fc38.x86_64 libdb-5.3.28-55.fc38.x86_64 libeconf-0.4.0-5.fc38.x86_64 libevent-2.1.12-8.fc38.x86_64 libfdisk-2.38.1-4.fc38.x86_64 libffi-3.4.4-2.fc38.x86_64 libgcc-13.0.1-0.12.fc38.x86_64 libgomp-13.0.1-0.12.fc38.x86_64 libidn2-2.3.4-2.fc38.x86_64 libmount-2.38.1-4.fc38.x86_64 libnghttp2-1.52.0-1.fc38.x86_64 libnsl2-2.0.0-5.fc38.x86_64 libpkgconf-1.8.0-6.fc38.x86_64 libpsl-0.21.2-2.fc38.x86_64 libpwquality-1.4.5-3.fc38.x86_64 libselinux-3.5-1.fc38.x86_64 libsemanage-3.5-2.fc38.x86_64 libsepol-3.5-1.fc38.x86_64 libsigsegv-2.14-4.fc38.x86_64 libsmartcols-2.38.1-4.fc38.x86_64 libssh-0.10.4-4.fc38.x86_64 libssh-config-0.10.4-4.fc38.noarch libstdc++-13.0.1-0.12.fc38.x86_64 libtasn1-4.19.0-2.fc38.x86_64 libtirpc-1.3.3-1.fc38.x86_64 libunistring1.0-1.0-1.fc38.x86_64 libutempter-1.2.1-8.fc38.x86_64 libuuid-2.38.1-4.fc38.x86_64 libverto-0.3.2-5.fc38.x86_64 libxcrypt-4.4.33-7.fc38.x86_64 libxml2-2.10.4-1.fc38.x86_64 libzstd-1.5.5-1.fc38.x86_64 lua-libs-5.4.4-9.fc38.x86_64 lua-srpm-macros-1-8.fc38.noarch lz4-libs-1.9.4-2.fc38.x86_64 mpfr-4.1.1-3.fc38.x86_64 ncurses-base-6.4-3.20230114.fc38.noarch ncurses-libs-6.4-3.20230114.fc38.x86_64 ocaml-srpm-macros-7-3.fc38.noarch openblas-srpm-macros-2-13.fc38.noarch openldap-2.6.4-1.fc38.x86_64 openssl-libs-1:3.0.8-2.fc38.x86_64 p11-kit-0.24.1-6.fc38.x86_64 p11-kit-trust-0.24.1-6.fc38.x86_64 package-notes-srpm-macros-0.5-7.fc38.noarch pam-1.5.2-16.fc38.x86_64 pam-libs-1.5.2-16.fc38.x86_64 patch-2.7.6-19.fc38.x86_64 pcre2-10.42-1.fc38.1.x86_64 pcre2-syntax-10.42-1.fc38.1.noarch perl-srpm-macros-1-48.fc38.noarch pkgconf-1.8.0-6.fc38.x86_64 pkgconf-m4-1.8.0-6.fc38.noarch pkgconf-pkg-config-1.8.0-6.fc38.x86_64 popt-1.19-2.fc38.x86_64 publicsuffix-list-dafsa-20230318-1.fc38.noarch pyproject-srpm-macros-1.6.3-1.fc38.noarch python-srpm-macros-3.11-10.fc38.noarch qt5-srpm-macros-5.15.9-1.fc38.noarch readline-8.2-3.fc38.x86_64 redhat-rpm-config-252-1.fc38.noarch rpm-4.18.1-1.fc38.x86_64 rpm-build-4.18.1-1.fc38.x86_64 rpm-build-libs-4.18.1-1.fc38.x86_64 rpm-libs-4.18.1-1.fc38.x86_64 rpm-sequoia-1.4.0-1.fc38.x86_64 rpmautospec-rpm-macros-0.3.5-1.fc38.noarch rust-srpm-macros-24-1.fc38.noarch sed-4.8-12.fc38.x86_64 setup-2.14.3-2.fc38.noarch shadow-utils-2:4.13-6.fc38.x86_64 sqlite-libs-3.40.1-2.fc38.x86_64 systemd-libs-253.2-1.fc38.x86_64 tar-2:1.34-8.fc38.x86_64 tzdata-2023c-1.fc38.noarch unzip-6.0-60.fc38.x86_64 util-linux-2.38.1-4.fc38.x86_64 util-linux-core-2.38.1-4.fc38.x86_64 which-2.21-39.fc38.x86_64 xxhash-libs-0.8.1-4.fc38.x86_64 xz-5.4.1-1.fc38.x86_64 xz-libs-5.4.1-1.fc38.x86_64 zip-3.0-36.fc38.x86_64 zlib-1.2.13-3.fc38.x86_64 zstd-1.5.5-1.fc38.x86_64 Complete! Finish: dnf install Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: rpm-libs-4.18.1-1.fc38.x86_64 ocaml-srpm-macros-7-3.fc38.noarch diffutils-3.9-1.fc38.x86_64 shadow-utils-4.13-6.fc38.x86_64 libnghttp2-1.52.0-1.fc38.x86_64 libzstd-1.5.5-1.fc38.x86_64 binutils-2.39-9.fc38.x86_64 ca-certificates-2023.2.60-2.fc38.noarch which-2.21-39.fc38.x86_64 bzip2-libs-1.0.8-13.fc38.x86_64 libblkid-2.38.1-4.fc38.x86_64 alternatives-1.22-1.fc38.x86_64 findutils-4.9.0-3.fc38.x86_64 pkgconf-m4-1.8.0-6.fc38.noarch libssh-0.10.4-4.fc38.x86_64 elfutils-libelf-0.189-1.fc38.x86_64 filesystem-3.18-3.fc38.x86_64 gawk-5.1.1-5.fc38.x86_64 zlib-1.2.13-3.fc38.x86_64 readline-8.2-3.fc38.x86_64 libtirpc-1.3.3-1.fc38.x86_64 libbrotli-1.0.9-11.fc38.x86_64 coreutils-9.1-11.fc38.x86_64 libssh-config-0.10.4-4.fc38.noarch libarchive-3.6.1-4.fc38.x86_64 util-linux-core-2.38.1-4.fc38.x86_64 mpfr-4.1.1-3.fc38.x86_64 rpm-build-libs-4.18.1-1.fc38.x86_64 tzdata-2023c-1.fc38.noarch cpio-2.13-14.fc38.x86_64 sqlite-libs-3.40.1-2.fc38.x86_64 pkgconf-1.8.0-6.fc38.x86_64 sed-4.8-12.fc38.x86_64 gdb-minimal-13.1-3.fc38.x86_64 fonts-srpm-macros-2.0.5-11.fc38.noarch gzip-1.12-3.fc38.x86_64 python-srpm-macros-3.11-10.fc38.noarch libunistring1.0-1.0-1.fc38.x86_64 xz-5.4.1-1.fc38.x86_64 ghc-srpm-macros-1.6.1-1.fc38.noarch pkgconf-pkg-config-1.8.0-6.fc38.x86_64 krb5-libs-1.20.1-8.fc38.x86_64 p11-kit-trust-0.24.1-6.fc38.x86_64 curl-7.87.0-7.fc38.x86_64 xz-libs-5.4.1-1.fc38.x86_64 basesystem-11-15.fc38.noarch libxcrypt-4.4.33-7.fc38.x86_64 libpwquality-1.4.5-3.fc38.x86_64 xxhash-libs-0.8.1-4.fc38.x86_64 patch-2.7.6-19.fc38.x86_64 elfutils-libs-0.189-1.fc38.x86_64 util-linux-2.38.1-4.fc38.x86_64 unzip-6.0-60.fc38.x86_64 crypto-policies-20230301-1.gita12f7b2.fc38.noarch libsemanage-3.5-2.fc38.x86_64 elfutils-debuginfod-client-0.189-1.fc38.x86_64 dwz-0.15-2.fc38.x86_64 cracklib-2.9.7-31.fc38.x86_64 gpg-pubkey-eb10b464-6202d9c6 libattr-2.5.1-6.fc38.x86_64 gnat-srpm-macros-6-2.fc38.noarch zip-3.0-36.fc38.x86_64 rpm-4.18.1-1.fc38.x86_64 libxml2-2.10.4-1.fc38.x86_64 p11-kit-0.24.1-6.fc38.x86_64 qt5-srpm-macros-5.15.9-1.fc38.noarch lua-srpm-macros-1-8.fc38.noarch ed-1.19-2.fc38.x86_64 fedora-repos-38-1.noarch libsmartcols-2.38.1-4.fc38.x86_64 pcre2-syntax-10.42-1.fc38.1.noarch jansson-2.13.1-6.fc38.x86_64 libeconf-0.4.0-5.fc38.x86_64 gdbm-libs-1.23-3.fc38.x86_64 kernel-srpm-macros-1.0-16.fc38.noarch libacl-2.3.1-6.fc38.x86_64 authselect-1.4.2-2.fc38.x86_64 libcom_err-1.46.5-4.fc38.x86_64 popt-1.19-2.fc38.x86_64 authselect-libs-1.4.2-2.fc38.x86_64 pam-libs-1.5.2-16.fc38.x86_64 ansible-srpm-macros-1-9.1.fc38.noarch pcre2-10.42-1.fc38.1.x86_64 libstdc++-13.0.1-0.12.fc38.x86_64 libpkgconf-1.8.0-6.fc38.x86_64 pyproject-srpm-macros-1.6.3-1.fc38.noarch file-5.44-3.fc38.x86_64 openblas-srpm-macros-2-13.fc38.noarch libuuid-2.38.1-4.fc38.x86_64 libnsl2-2.0.0-5.fc38.x86_64 go-srpm-macros-3.2.0-2.fc38.noarch rust-srpm-macros-24-1.fc38.noarch libsepol-3.5-1.fc38.x86_64 pam-1.5.2-16.fc38.x86_64 redhat-rpm-config-252-1.fc38.noarch libpsl-0.21.2-2.fc38.x86_64 libffi-3.4.4-2.fc38.x86_64 perl-srpm-macros-1-48.fc38.noarch publicsuffix-list-dafsa-20230318-1.fc38.noarch lua-libs-5.4.4-9.fc38.x86_64 lz4-libs-1.9.4-2.fc38.x86_64 bzip2-1.0.8-13.fc38.x86_64 rpm-sequoia-1.4.0-1.fc38.x86_64 coreutils-common-9.1-11.fc38.x86_64 info-7.0.2-2.fc38.x86_64 libdb-5.3.28-55.fc38.x86_64 rpmautospec-rpm-macros-0.3.5-1.fc38.noarch package-notes-srpm-macros-0.5-7.fc38.noarch tar-1.34-8.fc38.x86_64 fedora-release-common-38-34.noarch binutils-gold-2.39-9.fc38.x86_64 zstd-1.5.5-1.fc38.x86_64 libverto-0.3.2-5.fc38.x86_64 audit-libs-3.1-2.fc38.x86_64 openssl-libs-3.0.8-2.fc38.x86_64 systemd-libs-253.2-1.fc38.x86_64 efi-srpm-macros-5-7.fc38.noarch libevent-2.1.12-8.fc38.x86_64 fedora-release-identity-basic-38-34.noarch libgomp-13.0.1-0.12.fc38.x86_64 libtasn1-4.19.0-2.fc38.x86_64 fedora-gpg-keys-38-1.noarch elfutils-default-yama-scope-0.189-1.fc38.noarch rpm-build-4.18.1-1.fc38.x86_64 libidn2-2.3.4-2.fc38.x86_64 gmp-6.2.1-4.fc38.x86_64 glibc-gconv-extra-2.37-1.fc38.x86_64 libmount-2.38.1-4.fc38.x86_64 libcurl-7.87.0-7.fc38.x86_64 glibc-minimal-langpack-2.37-1.fc38.x86_64 libgcc-13.0.1-0.12.fc38.x86_64 libselinux-3.5-1.fc38.x86_64 openldap-2.6.4-1.fc38.x86_64 elfutils-0.189-1.fc38.x86_64 keyutils-libs-1.6.1-6.fc38.x86_64 libsigsegv-2.14-4.fc38.x86_64 fpc-srpm-macros-1.3-7.fc38.noarch libcap-ng-0.8.3-5.fc38.x86_64 cyrus-sasl-lib-2.1.28-9.fc38.x86_64 grep-3.8-3.fc38.x86_64 glibc-common-2.37-1.fc38.x86_64 libfdisk-2.38.1-4.fc38.x86_64 setup-2.14.3-2.fc38.noarch ncurses-libs-6.4-3.20230114.fc38.x86_64 fedora-release-38-34.noarch glibc-2.37-1.fc38.x86_64 bash-5.2.15-3.fc38.x86_64 file-libs-5.44-3.fc38.x86_64 ncurses-base-6.4-3.20230114.fc38.noarch libutempter-1.2.1-8.fc38.x86_64 libcap-2.48-6.fc38.x86_64 debugedit-5.0-7.fc38.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-prophet-1.0-1.fc38.copr5831820.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild -bs cp: ‘var/lib/mock/fedora-38-x86_64-1682237413.615273/root/var/log’: No such file or directory INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-38-x86_64-1682237413.615273/root/var/log/dnf.rpm.log /var/lib/mock/fedora-38-x86_64-1682237413.615273/root/var/log/dnf.librepo.log /var/lib/mock/fedora-38-x86_64-1682237413.615273/root/var/log/dnf.log Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-arf6d9vn/R-CRAN-prophet/R-CRAN-prophet.spec) Config(child) 0 minutes 30 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 (timeout=18000): unbuffer mock --rebuild /var/lib/copr-rpmbuild/results/R-CRAN-prophet-1.0-1.fc38.copr5831820.src.rpm --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1682237413.615273 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 3.5 starting (python version = 3.11.0, NVR = mock-3.5-1.fc37)... 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/results/R-CRAN-prophet-1.0-1.fc38.copr5831820.src.rpm) Config(fedora-38-x86_64) Start: clean chroot Finish: clean chroot Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-38-x86_64-1682237413.615273/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 Mock Version: 3.5 INFO: Mock Version: 3.5 Start: dnf update 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 27 kB/s | 1.5 kB 00:00 Copr repository 17 MB/s | 44 MB 00:02 fedora 442 kB/s | 22 kB 00:00 updates 410 kB/s | 19 kB 00:00 Dependencies resolved. Nothing to do. Complete! Finish: dnf update Finish: chroot init Start: build phase for R-CRAN-prophet-1.0-1.fc38.copr5831820.src.rpm Start: build setup for R-CRAN-prophet-1.0-1.fc38.copr5831820.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-prophet-1.0-1.fc38.copr5831820.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 21 kB/s | 1.5 kB 00:00 Copr repository 18 MB/s | 44 MB 00:02 fedora 463 kB/s | 22 kB 00:00 updates 393 kB/s | 19 kB 00:00 Dependencies resolved. ======================================================================================== Package Arch Version Repo Size ======================================================================================== Installing: R-CRAN-BH noarch 1.81.0.1-1.fc38.copr5812128 copr_base 9.7 M R-CRAN-Rcpp x86_64 1.0.10-1.fc38.copr5812115 copr_base 2.0 M R-CRAN-RcppEigen x86_64 0.3.3.9.3-1.fc38.copr5817792 copr_base 1.2 M R-CRAN-RcppParallel x86_64 5.1.7-1.fc38.copr5812289 copr_base 140 k R-CRAN-StanHeaders x86_64 2.21.0.7-1.fc38.copr5819450 copr_base 1.0 M R-CRAN-dplyr x86_64 1.1.2-1.fc38.copr5826104 copr_base 1.5 M R-CRAN-dygraphs noarch 1.1.1.6-3.fc38.copr5829274 copr_base 404 k R-CRAN-extraDistr x86_64 1.9.1-1.fc38.copr5815623 copr_base 590 k R-CRAN-ggplot2 noarch 3.4.2-1.fc38.copr5826103 copr_base 4.2 M R-CRAN-lubridate x86_64 1.9.2-1.fc38.copr5817809 copr_base 1.1 M R-CRAN-rlang x86_64 1.1.0-1.fc38.copr5812121 copr_base 1.6 M R-CRAN-rstan x86_64 2.21.8-1.fc38.copr5826997 copr_base 2.6 M R-CRAN-rstantools noarch 2.3.1-1.fc38.copr5817787 copr_base 175 k R-CRAN-scales noarch 1.2.1-1.fc38.copr5817798 copr_base 638 k R-CRAN-tidyr x86_64 1.3.0-1.fc38.copr5826999 copr_base 1.1 M R-CRAN-xts x86_64 0.13.1-1.fc38.copr5817793 copr_base 842 k R-core x86_64 4.3.0-1.fc38~bootstrap copr_base 61 M R-devel x86_64 4.3.0-1.fc38~bootstrap copr_base 11 k Installing dependencies: R-CRAN-MASS x86_64 7.3.59-1.fc38.copr5836207 copr_base 1.2 M R-CRAN-Matrix x86_64 1.5.4-1.fc38.copr5817248 copr_base 4.2 M R-CRAN-R6 noarch 2.5.1-1.fc38.copr5812135 copr_base 96 k R-CRAN-RColorBrewer noarch 1.1.3-1.fc38.copr5812145 copr_base 65 k R-CRAN-backports x86_64 1.4.1-1.fc38.copr5812120 copr_base 120 k R-CRAN-base64enc x86_64 0.1.3-3.fc38.copr5812148 copr_base 40 k R-CRAN-bslib noarch 0.4.2-1.fc38.copr5824296 copr_base 4.0 M R-CRAN-cachem x86_64 1.0.7-1.fc38.copr5817308 copr_base 82 k R-CRAN-callr noarch 3.7.3-1.fc38.copr5817800 copr_base 433 k R-CRAN-checkmate x86_64 2.1.0-1.fc38.copr5815603 copr_base 682 k R-CRAN-cli x86_64 3.6.1-1.fc38.copr5812158 copr_base 1.3 M R-CRAN-colorspace x86_64 2.1.0-1.fc38.copr5812150 copr_base 2.4 M R-CRAN-crayon noarch 1.5.2-1.fc38.copr5812139 copr_base 182 k R-CRAN-desc noarch 1.4.2-1.fc38.copr5815615 copr_base 352 k R-CRAN-digest x86_64 0.6.31-1.fc38.copr5812122 copr_base 207 k R-CRAN-ellipsis x86_64 0.3.2-1.fc38.copr5815610 copr_base 49 k R-CRAN-evaluate noarch 0.20-1.fc38.copr5812189 copr_base 94 k R-CRAN-fansi x86_64 1.0.4-1.fc38.copr5812149 copr_base 338 k R-CRAN-farver x86_64 2.1.1-1.fc38.copr5812193 copr_base 1.3 M R-CRAN-fastmap x86_64 1.1.1-1.fc38.copr5813019 copr_base 79 k R-CRAN-fontawesome noarch 0.5.1-1.fc38.copr5820775 copr_base 1.3 M R-CRAN-fs x86_64 1.6.1-1.fc38.copr5812198 copr_base 310 k R-CRAN-generics noarch 0.1.3-1.fc38.copr5812201 copr_base 99 k R-CRAN-glue x86_64 1.6.2-1.fc38.copr5812116 copr_base 162 k R-CRAN-gridExtra noarch 2.3-3.fc38.copr5819452 copr_base 1.0 M R-CRAN-gtable noarch 0.3.3-1.fc38.copr5817789 copr_base 232 k R-CRAN-highr noarch 0.10-1.fc38.copr5815631 copr_base 51 k R-CRAN-htmltools x86_64 0.5.5-1.fc38.copr5817794 copr_base 380 k R-CRAN-htmlwidgets noarch 1.6.2-1.fc38.copr5826992 copr_base 426 k R-CRAN-inline noarch 0.3.19-1.fc38.copr5812127 copr_base 146 k R-CRAN-isoband x86_64 0.2.7-1.fc38.copr5813294 copr_base 1.6 M R-CRAN-jquerylib noarch 0.1.4-1.fc38.copr5820526 copr_base 301 k R-CRAN-jsonlite x86_64 1.8.4-1.fc38.copr5812131 copr_base 636 k R-CRAN-knitr noarch 1.42-1.fc38.copr5817825 copr_base 1.3 M R-CRAN-labeling noarch 0.4.2-1.fc38.copr5812144 copr_base 77 k R-CRAN-lattice x86_64 0.21.8-1.fc38.copr5814828 copr_base 1.4 M R-CRAN-lifecycle noarch 1.0.3-1.fc38.copr5816294 copr_base 131 k R-CRAN-loo noarch 2.6.0-1.fc38.copr5817796 copr_base 1.8 M R-CRAN-magrittr x86_64 2.0.3-1.fc38.copr5812133 copr_base 222 k R-CRAN-matrixStats x86_64 0.63.0-1.fc38.copr5812117 copr_base 472 k R-CRAN-memoise noarch 2.0.1-1.fc38.copr5817811 copr_base 63 k R-CRAN-mgcv x86_64 1.8.42-1.fc38.copr5819019 copr_base 3.3 M R-CRAN-mime x86_64 0.12-1.fc38.copr5812138 copr_base 47 k R-CRAN-munsell noarch 0.5.0-3.fc38.copr5815607 copr_base 251 k R-CRAN-nlme x86_64 3.1.162-1.fc38.copr5817249 copr_base 2.4 M R-CRAN-pillar noarch 1.9.0-1.fc38.copr5819458 copr_base 624 k R-CRAN-pkgbuild noarch 1.4.0-1.fc38.copr5819456 copr_base 190 k R-CRAN-pkgconfig noarch 2.0.3-3.fc38.copr5812134 copr_base 30 k R-CRAN-prettyunits noarch 1.1.1-3.fc38.copr5812159 copr_base 48 k R-CRAN-processx x86_64 3.8.1-1.fc38.copr5815609 copr_base 355 k R-CRAN-ps x86_64 1.7.5-1.fc38.copr5812153 copr_base 338 k R-CRAN-purrr x86_64 1.0.1-1.fc38.copr5819453 copr_base 546 k R-CRAN-rappdirs x86_64 0.3.3-1.fc38.copr5812248 copr_base 60 k R-CRAN-rmarkdown noarch 2.21-1.fc38.copr5826113 copr_base 2.0 M R-CRAN-rprojroot noarch 2.0.3-1.fc38.copr5812160 copr_base 115 k R-CRAN-sass x86_64 0.4.5-1.fc38.copr5820330 copr_base 2.1 M R-CRAN-stringi x86_64 1.7.12-1.fc38.copr5812147 copr_base 996 k R-CRAN-stringr noarch 1.5.0-1.fc38.copr5819451 copr_base 319 k R-CRAN-tibble x86_64 3.2.1-1.fc38.copr5821162 copr_base 632 k R-CRAN-tidyselect noarch 1.2.0-1.fc38.copr5819454 copr_base 232 k R-CRAN-timechange x86_64 0.2.0-1.fc38.copr5816989 copr_base 178 k R-CRAN-tinytex noarch 0.45-1.fc38.copr5815647 copr_base 153 k R-CRAN-utf8 x86_64 1.2.3-1.fc38.copr5812151 copr_base 150 k R-CRAN-vctrs x86_64 0.6.2-1.fc38.copr5817801 copr_base 1.3 M R-CRAN-viridisLite noarch 0.4.1-1.fc38.copr5812125 copr_base 1.2 M R-CRAN-withr noarch 2.5.0-1.fc38.copr5812126 copr_base 256 k R-CRAN-xfun x86_64 0.39-1.fc38.copr5812137 copr_base 477 k R-CRAN-yaml x86_64 2.3.7-1.fc38.copr5812143 copr_base 121 k R-CRAN-zoo x86_64 1.8.12-1.fc38.copr5815602 copr_base 1.0 M R-core-devel x86_64 4.3.0-1.fc38~bootstrap copr_base 86 k R-java x86_64 4.3.0-1.fc38~bootstrap copr_base 11 k R-java-devel x86_64 4.3.0-1.fc38~bootstrap copr_base 11 k R-littler x86_64 0.3.18-1.fc38 fedora 76 k R-rpm-macros noarch 1.2.1-6.fc38 fedora 11 k alsa-lib x86_64 1.2.8-3.fc38 fedora 516 k annobin-docs noarch 12.02-1.fc38 updates 94 k annobin-plugin-gcc x86_64 12.02-1.fc38 updates 897 k avahi-libs x86_64 0.8-22.fc38 updates 66 k brotli x86_64 1.0.9-11.fc38 fedora 316 k brotli-devel x86_64 1.0.9-11.fc38 fedora 31 k bzip2-devel x86_64 1.0.8-13.fc38 fedora 214 k cairo x86_64 1.17.8-3.fc38 fedora 703 k cmake-filesystem x86_64 3.26.3-1.fc38 updates 17 k copy-jdk-configs noarch 4.1-2.fc38 fedora 28 k cpp x86_64 13.0.1-0.12.fc38 fedora 11 M crypto-policies-scripts noarch 20230301-1.gita12f7b2.fc38 fedora 116 k cups-libs x86_64 1:2.4.2-11.fc38 fedora 267 k dbus-libs x86_64 1:1.14.6-1.fc38 fedora 156 k dejavu-sans-fonts noarch 2.37-20.fc38 fedora 1.3 M desktop-file-utils x86_64 0.26-8.fc38 fedora 71 k emacs-filesystem noarch 1:28.2-4.fc38 fedora 7.6 k expat x86_64 2.5.0-2.fc38 fedora 110 k flexiblas x86_64 3.3.1-1.fc38 updates 32 k flexiblas-devel x86_64 3.3.1-1.fc38 updates 116 k flexiblas-netlib x86_64 3.3.1-1.fc38 updates 3.1 M flexiblas-netlib64 x86_64 3.3.1-1.fc38 updates 3.0 M flexiblas-openblas-openmp x86_64 3.3.1-1.fc38 updates 17 k flexiblas-openblas-openmp64 x86_64 3.3.1-1.fc38 updates 17 k fontconfig x86_64 2.14.2-1.fc38 fedora 295 k fontconfig-devel x86_64 2.14.2-1.fc38 fedora 164 k fonts-filesystem noarch 1:2.0.5-11.fc38 fedora 8.1 k freetype x86_64 2.13.0-2.fc38 fedora 414 k freetype-devel x86_64 2.13.0-2.fc38 fedora 945 k fribidi x86_64 1.0.12-3.fc38 fedora 89 k gc x86_64 8.2.2-3.fc38 fedora 110 k gcc x86_64 13.0.1-0.12.fc38 fedora 34 M gcc-c++ x86_64 13.0.1-0.12.fc38 fedora 13 M gcc-gfortran x86_64 13.0.1-0.12.fc38 fedora 12 M gcc-plugin-annobin x86_64 13.0.1-0.12.fc38 fedora 40 k gettext x86_64 0.21.1-2.fc38 fedora 1.0 M gettext-envsubst x86_64 0.21.1-2.fc38 fedora 36 k gettext-libs x86_64 0.21.1-2.fc38 fedora 320 k gettext-runtime x86_64 0.21.1-2.fc38 fedora 117 k glib2 x86_64 2.76.1-1.fc38 fedora 2.8 M glib2-devel x86_64 2.76.1-1.fc38 fedora 587 k glibc-devel x86_64 2.37-1.fc38 fedora 50 k glibc-headers-x86 noarch 2.37-1.fc38 fedora 530 k gnutls x86_64 3.8.0-2.fc38 fedora 1.1 M google-noto-fonts-common noarch 20230201-1.fc38 fedora 16 k google-noto-sans-vf-fonts noarch 20230201-1.fc38 fedora 580 k graphite2 x86_64 1.3.14-11.fc38 fedora 95 k graphite2-devel x86_64 1.3.14-11.fc38 fedora 20 k guile22 x86_64 2.2.7-7.fc38 fedora 6.5 M harfbuzz x86_64 7.1.0-1.fc38 fedora 889 k harfbuzz-devel x86_64 7.1.0-1.fc38 fedora 445 k harfbuzz-icu x86_64 7.1.0-1.fc38 fedora 16 k java-17-openjdk x86_64 1:17.0.6.0.10-1.fc38 fedora 430 k java-17-openjdk-devel x86_64 1:17.0.6.0.10-1.fc38 fedora 4.7 M java-17-openjdk-headless x86_64 1:17.0.6.0.10-1.fc38 fedora 42 M javapackages-filesystem noarch 6.1.0-7.fc38 fedora 13 k jbigkit-libs x86_64 2.1-25.fc38 fedora 53 k kernel-headers x86_64 6.2.6-300.fc38 fedora 1.5 M langpacks-core-font-en noarch 3.0-32.fc38 updates 9.6 k lcms2 x86_64 2.15-1.fc38 fedora 178 k libICE x86_64 1.0.10-10.fc38 fedora 71 k libRmath x86_64 4.3.0-1.fc38~bootstrap copr_base 122 k libRmath-devel x86_64 4.3.0-1.fc38~bootstrap copr_base 16 k libSM x86_64 1.2.3-12.fc38 fedora 41 k libX11 x86_64 1.8.4-1.fc38 fedora 649 k libX11-common noarch 1.8.4-1.fc38 fedora 177 k libX11-devel x86_64 1.8.4-1.fc38 fedora 1.0 M libX11-xcb x86_64 1.8.4-1.fc38 fedora 11 k libXau x86_64 1.0.11-2.fc38 fedora 32 k libXau-devel x86_64 1.0.11-2.fc38 fedora 14 k libXcomposite x86_64 0.4.5-9.fc38 fedora 23 k libXext x86_64 1.3.5-2.fc38 fedora 39 k libXft x86_64 2.3.6-2.fc38 fedora 71 k libXft-devel x86_64 2.3.6-2.fc38 fedora 50 k libXi x86_64 1.8-4.fc38 fedora 40 k libXmu x86_64 1.1.4-2.fc38 fedora 77 k libXrender x86_64 0.9.11-2.fc38 fedora 27 k libXrender-devel x86_64 0.9.11-2.fc38 fedora 19 k libXt x86_64 1.2.1-4.fc38 fedora 179 k libXtst x86_64 1.2.4-2.fc38 fedora 20 k libart_lgpl x86_64 2.3.21-29.fc38 fedora 72 k libb2 x86_64 0.98.1-8.fc38 fedora 25 k libblkid-devel x86_64 2.38.1-4.fc38 fedora 16 k libdatrie x86_64 0.2.13-5.fc38 fedora 32 k libffi-devel x86_64 3.4.4-2.fc38 fedora 29 k libfontenc x86_64 1.1.6-2.fc38 fedora 32 k libgfortran x86_64 13.0.1-0.12.fc38 fedora 898 k libicu x86_64 72.1-2.fc38 fedora 10 M libicu-devel x86_64 72.1-2.fc38 fedora 918 k libimagequant x86_64 2.17.0-4.fc38 fedora 63 k libjpeg-turbo x86_64 2.1.4-2.fc38 fedora 183 k libmount-devel x86_64 2.38.1-4.fc38 fedora 18 k libmpc x86_64 1.3.1-2.fc38 fedora 70 k libpng x86_64 2:1.6.37-14.fc38 fedora 120 k libpng-devel x86_64 2:1.6.37-14.fc38 fedora 291 k libquadmath x86_64 13.0.1-0.12.fc38 fedora 189 k libquadmath-devel x86_64 13.0.1-0.12.fc38 fedora 30 k libraqm x86_64 0.8.0-4.fc38 fedora 20 k libselinux-devel x86_64 3.5-1.fc38 fedora 151 k libsepol-devel x86_64 3.5-1.fc38 fedora 49 k libstdc++-devel x86_64 13.0.1-0.12.fc38 fedora 2.6 M libthai x86_64 0.1.29-4.fc38 fedora 213 k libtiff x86_64 4.4.0-5.fc38 fedora 197 k libtirpc-devel x86_64 1.3.3-1.fc38 fedora 126 k libtool-ltdl x86_64 2.4.7-6.fc38 fedora 37 k libunistring x86_64 1.1-3.fc38 fedora 545 k libwebp x86_64 1.3.0-2.fc38 fedora 282 k libxcb x86_64 1.13.1-11.fc38 fedora 231 k libxcb-devel x86_64 1.13.1-11.fc38 fedora 1.4 M libxcrypt-devel x86_64 4.4.33-7.fc38 fedora 30 k libxml2-devel x86_64 2.10.4-1.fc38 updates 531 k libyaml x86_64 0.2.5-9.fc38 fedora 59 k lksctp-tools x86_64 1.0.19-3.fc38 fedora 92 k lua x86_64 5.4.4-9.fc38 fedora 190 k lua-posix x86_64 35.1-5.fc38 fedora 138 k make x86_64 1:4.4-3.fc38 fedora 580 k mkfontscale x86_64 1.2.2-3.fc38 fedora 32 k mpdecimal x86_64 2.5.1-6.fc38 fedora 89 k nettle x86_64 3.8-3.fc38 fedora 412 k nspr x86_64 4.35.0-6.fc38 fedora 136 k nss x86_64 3.89.0-2.fc38 fedora 693 k nss-softokn x86_64 3.89.0-2.fc38 fedora 1.0 M nss-softokn-freebl x86_64 3.89.0-2.fc38 fedora 325 k nss-sysinit x86_64 3.89.0-2.fc38 fedora 18 k nss-util x86_64 3.89.0-2.fc38 fedora 86 k openblas x86_64 0.3.21-4.fc38 fedora 35 k openblas-openmp x86_64 0.3.21-4.fc38 fedora 5.1 M openblas-openmp64 x86_64 0.3.21-4.fc38 fedora 4.9 M openjpeg2 x86_64 2.5.0-3.fc38 fedora 178 k pandoc x86_64 2.19.2-21.fc38 fedora 24 M pandoc-common noarch 2.19.2-21.fc38 fedora 509 k pango x86_64 1.50.14-1.fc38 fedora 342 k pcre2-devel x86_64 10.42-1.fc38.1 fedora 506 k pcre2-utf16 x86_64 10.42-1.fc38.1 fedora 214 k pcre2-utf32 x86_64 10.42-1.fc38.1 fedora 201 k pixman x86_64 0.42.2-1.fc38 fedora 285 k python-pip-wheel noarch 22.3.1-2.fc38 fedora 1.4 M python-setuptools-wheel noarch 65.5.1-2.fc38 fedora 715 k python3 x86_64 3.11.3-1.fc38 updates 28 k python3-docutils noarch 0.19-2.fc38 fedora 1.1 M python3-jinja2 noarch 3.0.3-7.fc38 fedora 638 k python3-libs x86_64 3.11.3-1.fc38 updates 9.6 M python3-markupsafe x86_64 2.1.2-1.fc38 fedora 30 k python3-olefile noarch 0.46-19.fc38 fedora 67 k python3-pdfrw noarch 0.4-19.fc38 fedora 144 k python3-pillow x86_64 9.4.0-2.fc38 fedora 922 k python3-pygments noarch 2.14.0-1.fc38 fedora 2.5 M python3-reportlab x86_64 3.6.12-2.fc38 fedora 3.5 M python3-setuptools noarch 65.5.1-2.fc38 fedora 1.7 M python3-six noarch 1.16.0-9.fc38 fedora 42 k python3-smartypants noarch 2.0.1-15.fc38 fedora 25 k rst2pdf noarch 0.97-11.fc38 fedora 344 k sysprof-capture-devel x86_64 3.48.0-1.fc38 fedora 58 k tbb x86_64 2020.3-16.fc38 fedora 169 k tbb-devel x86_64 2020.3-16.fc38 fedora 335 k tcl x86_64 1:8.6.12-4.fc38 fedora 1.1 M tcl-devel x86_64 1:8.6.12-4.fc38 fedora 169 k tk x86_64 1:8.6.12-4.fc38 fedora 1.6 M tk-devel x86_64 1:8.6.12-4.fc38 fedora 538 k tre x86_64 0.8.0-39.20140228gitc2f5d13.fc38 fedora 43 k tre-common noarch 0.8.0-39.20140228gitc2f5d13.fc38 fedora 31 k tre-devel x86_64 0.8.0-39.20140228gitc2f5d13.fc38 fedora 12 k ttmkfdir x86_64 3.0.9-67.fc38 fedora 54 k tzdata-java noarch 2023c-1.fc38 fedora 208 k xdg-utils noarch 1.1.3-13.fc38 fedora 77 k xml-common noarch 0.6.3-60.fc38 fedora 31 k xorg-x11-fonts-Type1 noarch 7.5-35.fc38 fedora 505 k xorg-x11-proto-devel noarch 2022.2-3.fc38 fedora 299 k xz-devel x86_64 5.4.1-1.fc38 fedora 65 k zlib-devel x86_64 1.2.13-3.fc38 fedora 45 k Transaction Summary ======================================================================================== Install 262 Packages Total size: 376 M Total download size: 103 M Installed size: 1.3 G Downloading Packages: [SKIPPED] R-CRAN-R6-2.5.1-1.fc38.copr5812135.noarch.rpm: Already downloaded [SKIPPED] R-CRAN-backports-1.4.1-1.fc38.copr5812120.x86_64.rpm: Already downloaded [SKIPPED] R-CRAN-cli-3.6.1-1.fc38.copr5812158.x86_64.rpm: Already downloaded [SKIPPED] R-CRAN-dplyr-1.1.2-1.fc38.copr5826104.x86_64.rpm: Already downloaded [SKIPPED] R-CRAN-ellipsis-0.3.2-1.fc38.copr5815610.x86_64.rpm: Already downloaded [SKIPPED] R-CRAN-fansi-1.0.4-1.fc38.copr5812149.x86_64.rpm: Already downloaded [SKIPPED] R-CRAN-generics-0.1.3-1.fc38.copr5812201.noarch.rpm: Already downloaded [SKIPPED] R-CRAN-glue-1.6.2-1.fc38.copr5812116.x86_64.rpm: Already downloaded [SKIPPED] R-CRAN-lifecycle-1.0.3-1.fc38.copr5816294.noarch.rpm: Already downloaded 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R-CRAN-fs-1.6.1-1.fc38.copr5812198.x86_64 30/262 Verifying : R-CRAN-generics-0.1.3-1.fc38.copr5812201.noarch 31/262 Verifying : R-CRAN-ggplot2-3.4.2-1.fc38.copr5826103.noarch 32/262 Verifying : R-CRAN-glue-1.6.2-1.fc38.copr5812116.x86_64 33/262 Verifying : R-CRAN-gridExtra-2.3-3.fc38.copr5819452.noarch 34/262 Verifying : R-CRAN-gtable-0.3.3-1.fc38.copr5817789.noarch 35/262 Verifying : R-CRAN-highr-0.10-1.fc38.copr5815631.noarch 36/262 Verifying : R-CRAN-htmltools-0.5.5-1.fc38.copr5817794.x86_64 37/262 Verifying : R-CRAN-htmlwidgets-1.6.2-1.fc38.copr5826992.noar 38/262 Verifying : R-CRAN-inline-0.3.19-1.fc38.copr5812127.noarch 39/262 Verifying : R-CRAN-isoband-0.2.7-1.fc38.copr5813294.x86_64 40/262 Verifying : R-CRAN-jquerylib-0.1.4-1.fc38.copr5820526.noarch 41/262 Verifying : R-CRAN-jsonlite-1.8.4-1.fc38.copr5812131.x86_64 42/262 Verifying : R-CRAN-knitr-1.42-1.fc38.copr5817825.noarch 43/262 Verifying : R-CRAN-labeling-0.4.2-1.fc38.copr5812144.noarch 44/262 Verifying : 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R-CRAN-tidyselect-1.2.0-1.fc38.copr5819454.noarc 75/262 Verifying : R-CRAN-timechange-0.2.0-1.fc38.copr5816989.x86_6 76/262 Verifying : R-CRAN-tinytex-0.45-1.fc38.copr5815647.noarch 77/262 Verifying : R-CRAN-utf8-1.2.3-1.fc38.copr5812151.x86_64 78/262 Verifying : R-CRAN-vctrs-0.6.2-1.fc38.copr5817801.x86_64 79/262 Verifying : R-CRAN-viridisLite-0.4.1-1.fc38.copr5812125.noar 80/262 Verifying : R-CRAN-withr-2.5.0-1.fc38.copr5812126.noarch 81/262 Verifying : R-CRAN-xfun-0.39-1.fc38.copr5812137.x86_64 82/262 Verifying : R-CRAN-xts-0.13.1-1.fc38.copr5817793.x86_64 83/262 Verifying : R-CRAN-yaml-2.3.7-1.fc38.copr5812143.x86_64 84/262 Verifying : R-CRAN-zoo-1.8.12-1.fc38.copr5815602.x86_64 85/262 Verifying : R-core-4.3.0-1.fc38~bootstrap.x86_64 86/262 Verifying : R-core-devel-4.3.0-1.fc38~bootstrap.x86_64 87/262 Verifying : R-devel-4.3.0-1.fc38~bootstrap.x86_64 88/262 Verifying : R-java-4.3.0-1.fc38~bootstrap.x86_64 89/262 Verifying : R-java-devel-4.3.0-1.fc38~bootstrap.x86_64 90/262 Verifying : libRmath-4.3.0-1.fc38~bootstrap.x86_64 91/262 Verifying : libRmath-devel-4.3.0-1.fc38~bootstrap.x86_64 92/262 Verifying : R-littler-0.3.18-1.fc38.x86_64 93/262 Verifying : R-rpm-macros-1.2.1-6.fc38.noarch 94/262 Verifying : alsa-lib-1.2.8-3.fc38.x86_64 95/262 Verifying : brotli-1.0.9-11.fc38.x86_64 96/262 Verifying : brotli-devel-1.0.9-11.fc38.x86_64 97/262 Verifying : bzip2-devel-1.0.8-13.fc38.x86_64 98/262 Verifying : cairo-1.17.8-3.fc38.x86_64 99/262 Verifying : copy-jdk-configs-4.1-2.fc38.noarch 100/262 Verifying : cpp-13.0.1-0.12.fc38.x86_64 101/262 Verifying : crypto-policies-scripts-20230301-1.gita12f7b2.fc 102/262 Verifying : cups-libs-1:2.4.2-11.fc38.x86_64 103/262 Verifying : dbus-libs-1:1.14.6-1.fc38.x86_64 104/262 Verifying : dejavu-sans-fonts-2.37-20.fc38.noarch 105/262 Verifying : desktop-file-utils-0.26-8.fc38.x86_64 106/262 Verifying : emacs-filesystem-1:28.2-4.fc38.noarch 107/262 Verifying : expat-2.5.0-2.fc38.x86_64 108/262 Verifying : fontconfig-2.14.2-1.fc38.x86_64 109/262 Verifying : fontconfig-devel-2.14.2-1.fc38.x86_64 110/262 Verifying : fonts-filesystem-1:2.0.5-11.fc38.noarch 111/262 Verifying : freetype-2.13.0-2.fc38.x86_64 112/262 Verifying : freetype-devel-2.13.0-2.fc38.x86_64 113/262 Verifying : fribidi-1.0.12-3.fc38.x86_64 114/262 Verifying : gc-8.2.2-3.fc38.x86_64 115/262 Verifying : gcc-13.0.1-0.12.fc38.x86_64 116/262 Verifying : gcc-c++-13.0.1-0.12.fc38.x86_64 117/262 Verifying : gcc-gfortran-13.0.1-0.12.fc38.x86_64 118/262 Verifying : gcc-plugin-annobin-13.0.1-0.12.fc38.x86_64 119/262 Verifying : gettext-0.21.1-2.fc38.x86_64 120/262 Verifying : gettext-envsubst-0.21.1-2.fc38.x86_64 121/262 Verifying : gettext-libs-0.21.1-2.fc38.x86_64 122/262 Verifying : gettext-runtime-0.21.1-2.fc38.x86_64 123/262 Verifying : glib2-2.76.1-1.fc38.x86_64 124/262 Verifying : glib2-devel-2.76.1-1.fc38.x86_64 125/262 Verifying : glibc-devel-2.37-1.fc38.x86_64 126/262 Verifying : glibc-headers-x86-2.37-1.fc38.noarch 127/262 Verifying : gnutls-3.8.0-2.fc38.x86_64 128/262 Verifying : google-noto-fonts-common-20230201-1.fc38.noarch 129/262 Verifying : google-noto-sans-vf-fonts-20230201-1.fc38.noarch 130/262 Verifying : graphite2-1.3.14-11.fc38.x86_64 131/262 Verifying : graphite2-devel-1.3.14-11.fc38.x86_64 132/262 Verifying : guile22-2.2.7-7.fc38.x86_64 133/262 Verifying : harfbuzz-7.1.0-1.fc38.x86_64 134/262 Verifying : harfbuzz-devel-7.1.0-1.fc38.x86_64 135/262 Verifying : harfbuzz-icu-7.1.0-1.fc38.x86_64 136/262 Verifying : java-17-openjdk-1:17.0.6.0.10-1.fc38.x86_64 137/262 Verifying : java-17-openjdk-devel-1:17.0.6.0.10-1.fc38.x86_6 138/262 Verifying : java-17-openjdk-headless-1:17.0.6.0.10-1.fc38.x8 139/262 Verifying : javapackages-filesystem-6.1.0-7.fc38.noarch 140/262 Verifying : jbigkit-libs-2.1-25.fc38.x86_64 141/262 Verifying : kernel-headers-6.2.6-300.fc38.x86_64 142/262 Verifying : lcms2-2.15-1.fc38.x86_64 143/262 Verifying : libICE-1.0.10-10.fc38.x86_64 144/262 Verifying : libSM-1.2.3-12.fc38.x86_64 145/262 Verifying : libX11-1.8.4-1.fc38.x86_64 146/262 Verifying : libX11-common-1.8.4-1.fc38.noarch 147/262 Verifying : libX11-devel-1.8.4-1.fc38.x86_64 148/262 Verifying : libX11-xcb-1.8.4-1.fc38.x86_64 149/262 Verifying : libXau-1.0.11-2.fc38.x86_64 150/262 Verifying : libXau-devel-1.0.11-2.fc38.x86_64 151/262 Verifying : libXcomposite-0.4.5-9.fc38.x86_64 152/262 Verifying : libXext-1.3.5-2.fc38.x86_64 153/262 Verifying : libXft-2.3.6-2.fc38.x86_64 154/262 Verifying : libXft-devel-2.3.6-2.fc38.x86_64 155/262 Verifying : libXi-1.8-4.fc38.x86_64 156/262 Verifying : libXmu-1.1.4-2.fc38.x86_64 157/262 Verifying : libXrender-0.9.11-2.fc38.x86_64 158/262 Verifying : libXrender-devel-0.9.11-2.fc38.x86_64 159/262 Verifying : libXt-1.2.1-4.fc38.x86_64 160/262 Verifying : libXtst-1.2.4-2.fc38.x86_64 161/262 Verifying : libart_lgpl-2.3.21-29.fc38.x86_64 162/262 Verifying : libb2-0.98.1-8.fc38.x86_64 163/262 Verifying : libblkid-devel-2.38.1-4.fc38.x86_64 164/262 Verifying : libdatrie-0.2.13-5.fc38.x86_64 165/262 Verifying : libffi-devel-3.4.4-2.fc38.x86_64 166/262 Verifying : libfontenc-1.1.6-2.fc38.x86_64 167/262 Verifying : libgfortran-13.0.1-0.12.fc38.x86_64 168/262 Verifying : libicu-72.1-2.fc38.x86_64 169/262 Verifying : libicu-devel-72.1-2.fc38.x86_64 170/262 Verifying : libimagequant-2.17.0-4.fc38.x86_64 171/262 Verifying : libjpeg-turbo-2.1.4-2.fc38.x86_64 172/262 Verifying : libmount-devel-2.38.1-4.fc38.x86_64 173/262 Verifying : libmpc-1.3.1-2.fc38.x86_64 174/262 Verifying : libpng-2:1.6.37-14.fc38.x86_64 175/262 Verifying : libpng-devel-2:1.6.37-14.fc38.x86_64 176/262 Verifying : libquadmath-13.0.1-0.12.fc38.x86_64 177/262 Verifying : libquadmath-devel-13.0.1-0.12.fc38.x86_64 178/262 Verifying : libraqm-0.8.0-4.fc38.x86_64 179/262 Verifying : libselinux-devel-3.5-1.fc38.x86_64 180/262 Verifying : libsepol-devel-3.5-1.fc38.x86_64 181/262 Verifying : libstdc++-devel-13.0.1-0.12.fc38.x86_64 182/262 Verifying : libthai-0.1.29-4.fc38.x86_64 183/262 Verifying : libtiff-4.4.0-5.fc38.x86_64 184/262 Verifying : libtirpc-devel-1.3.3-1.fc38.x86_64 185/262 Verifying : libtool-ltdl-2.4.7-6.fc38.x86_64 186/262 Verifying : libunistring-1.1-3.fc38.x86_64 187/262 Verifying : libwebp-1.3.0-2.fc38.x86_64 188/262 Verifying : libxcb-1.13.1-11.fc38.x86_64 189/262 Verifying : libxcb-devel-1.13.1-11.fc38.x86_64 190/262 Verifying : libxcrypt-devel-4.4.33-7.fc38.x86_64 191/262 Verifying : libyaml-0.2.5-9.fc38.x86_64 192/262 Verifying : lksctp-tools-1.0.19-3.fc38.x86_64 193/262 Verifying : lua-5.4.4-9.fc38.x86_64 194/262 Verifying : lua-posix-35.1-5.fc38.x86_64 195/262 Verifying : make-1:4.4-3.fc38.x86_64 196/262 Verifying : mkfontscale-1.2.2-3.fc38.x86_64 197/262 Verifying : mpdecimal-2.5.1-6.fc38.x86_64 198/262 Verifying : nettle-3.8-3.fc38.x86_64 199/262 Verifying : nspr-4.35.0-6.fc38.x86_64 200/262 Verifying : nss-3.89.0-2.fc38.x86_64 201/262 Verifying : nss-softokn-3.89.0-2.fc38.x86_64 202/262 Verifying : nss-softokn-freebl-3.89.0-2.fc38.x86_64 203/262 Verifying : nss-sysinit-3.89.0-2.fc38.x86_64 204/262 Verifying : nss-util-3.89.0-2.fc38.x86_64 205/262 Verifying : openblas-0.3.21-4.fc38.x86_64 206/262 Verifying : openblas-openmp-0.3.21-4.fc38.x86_64 207/262 Verifying : openblas-openmp64-0.3.21-4.fc38.x86_64 208/262 Verifying : openjpeg2-2.5.0-3.fc38.x86_64 209/262 Verifying : pandoc-2.19.2-21.fc38.x86_64 210/262 Verifying : pandoc-common-2.19.2-21.fc38.noarch 211/262 Verifying : pango-1.50.14-1.fc38.x86_64 212/262 Verifying : pcre2-devel-10.42-1.fc38.1.x86_64 213/262 Verifying : pcre2-utf16-10.42-1.fc38.1.x86_64 214/262 Verifying : pcre2-utf32-10.42-1.fc38.1.x86_64 215/262 Verifying : pixman-0.42.2-1.fc38.x86_64 216/262 Verifying : python-pip-wheel-22.3.1-2.fc38.noarch 217/262 Verifying : python-setuptools-wheel-65.5.1-2.fc38.noarch 218/262 Verifying : python3-docutils-0.19-2.fc38.noarch 219/262 Verifying : python3-jinja2-3.0.3-7.fc38.noarch 220/262 Verifying : python3-markupsafe-2.1.2-1.fc38.x86_64 221/262 Verifying : python3-olefile-0.46-19.fc38.noarch 222/262 Verifying : python3-pdfrw-0.4-19.fc38.noarch 223/262 Verifying : python3-pillow-9.4.0-2.fc38.x86_64 224/262 Verifying : python3-pygments-2.14.0-1.fc38.noarch 225/262 Verifying : python3-reportlab-3.6.12-2.fc38.x86_64 226/262 Verifying : python3-setuptools-65.5.1-2.fc38.noarch 227/262 Verifying : python3-six-1.16.0-9.fc38.noarch 228/262 Verifying : python3-smartypants-2.0.1-15.fc38.noarch 229/262 Verifying : rst2pdf-0.97-11.fc38.noarch 230/262 Verifying : sysprof-capture-devel-3.48.0-1.fc38.x86_64 231/262 Verifying : tbb-2020.3-16.fc38.x86_64 232/262 Verifying : tbb-devel-2020.3-16.fc38.x86_64 233/262 Verifying : tcl-1:8.6.12-4.fc38.x86_64 234/262 Verifying : tcl-devel-1:8.6.12-4.fc38.x86_64 235/262 Verifying : tk-1:8.6.12-4.fc38.x86_64 236/262 Verifying : tk-devel-1:8.6.12-4.fc38.x86_64 237/262 Verifying : tre-0.8.0-39.20140228gitc2f5d13.fc38.x86_64 238/262 Verifying : tre-common-0.8.0-39.20140228gitc2f5d13.fc38.noar 239/262 Verifying : tre-devel-0.8.0-39.20140228gitc2f5d13.fc38.x86_6 240/262 Verifying : ttmkfdir-3.0.9-67.fc38.x86_64 241/262 Verifying : tzdata-java-2023c-1.fc38.noarch 242/262 Verifying : xdg-utils-1.1.3-13.fc38.noarch 243/262 Verifying : xml-common-0.6.3-60.fc38.noarch 244/262 Verifying : xorg-x11-fonts-Type1-7.5-35.fc38.noarch 245/262 Verifying : xorg-x11-proto-devel-2022.2-3.fc38.noarch 246/262 Verifying : xz-devel-5.4.1-1.fc38.x86_64 247/262 Verifying : zlib-devel-1.2.13-3.fc38.x86_64 248/262 Verifying : annobin-docs-12.02-1.fc38.noarch 249/262 Verifying : annobin-plugin-gcc-12.02-1.fc38.x86_64 250/262 Verifying : avahi-libs-0.8-22.fc38.x86_64 251/262 Verifying : cmake-filesystem-3.26.3-1.fc38.x86_64 252/262 Verifying : flexiblas-3.3.1-1.fc38.x86_64 253/262 Verifying : flexiblas-devel-3.3.1-1.fc38.x86_64 254/262 Verifying : flexiblas-netlib-3.3.1-1.fc38.x86_64 255/262 Verifying : flexiblas-netlib64-3.3.1-1.fc38.x86_64 256/262 Verifying : flexiblas-openblas-openmp-3.3.1-1.fc38.x86_64 257/262 Verifying : flexiblas-openblas-openmp64-3.3.1-1.fc38.x86_64 258/262 Verifying : langpacks-core-font-en-3.0-32.fc38.noarch 259/262 Verifying : libxml2-devel-2.10.4-1.fc38.x86_64 260/262 Verifying : python3-3.11.3-1.fc38.x86_64 261/262 Verifying : python3-libs-3.11.3-1.fc38.x86_64 262/262 Installed products updated. Installed: R-CRAN-BH-1.81.0.1-1.fc38.copr5812128.noarch R-CRAN-MASS-7.3.59-1.fc38.copr5836207.x86_64 R-CRAN-Matrix-1.5.4-1.fc38.copr5817248.x86_64 R-CRAN-R6-2.5.1-1.fc38.copr5812135.noarch R-CRAN-RColorBrewer-1.1.3-1.fc38.copr5812145.noarch R-CRAN-Rcpp-1.0.10-1.fc38.copr5812115.x86_64 R-CRAN-RcppEigen-0.3.3.9.3-1.fc38.copr5817792.x86_64 R-CRAN-RcppParallel-5.1.7-1.fc38.copr5812289.x86_64 R-CRAN-StanHeaders-2.21.0.7-1.fc38.copr5819450.x86_64 R-CRAN-backports-1.4.1-1.fc38.copr5812120.x86_64 R-CRAN-base64enc-0.1.3-3.fc38.copr5812148.x86_64 R-CRAN-bslib-0.4.2-1.fc38.copr5824296.noarch R-CRAN-cachem-1.0.7-1.fc38.copr5817308.x86_64 R-CRAN-callr-3.7.3-1.fc38.copr5817800.noarch R-CRAN-checkmate-2.1.0-1.fc38.copr5815603.x86_64 R-CRAN-cli-3.6.1-1.fc38.copr5812158.x86_64 R-CRAN-colorspace-2.1.0-1.fc38.copr5812150.x86_64 R-CRAN-crayon-1.5.2-1.fc38.copr5812139.noarch R-CRAN-desc-1.4.2-1.fc38.copr5815615.noarch R-CRAN-digest-0.6.31-1.fc38.copr5812122.x86_64 R-CRAN-dplyr-1.1.2-1.fc38.copr5826104.x86_64 R-CRAN-dygraphs-1.1.1.6-3.fc38.copr5829274.noarch R-CRAN-ellipsis-0.3.2-1.fc38.copr5815610.x86_64 R-CRAN-evaluate-0.20-1.fc38.copr5812189.noarch R-CRAN-extraDistr-1.9.1-1.fc38.copr5815623.x86_64 R-CRAN-fansi-1.0.4-1.fc38.copr5812149.x86_64 R-CRAN-farver-2.1.1-1.fc38.copr5812193.x86_64 R-CRAN-fastmap-1.1.1-1.fc38.copr5813019.x86_64 R-CRAN-fontawesome-0.5.1-1.fc38.copr5820775.noarch R-CRAN-fs-1.6.1-1.fc38.copr5812198.x86_64 R-CRAN-generics-0.1.3-1.fc38.copr5812201.noarch R-CRAN-ggplot2-3.4.2-1.fc38.copr5826103.noarch R-CRAN-glue-1.6.2-1.fc38.copr5812116.x86_64 R-CRAN-gridExtra-2.3-3.fc38.copr5819452.noarch R-CRAN-gtable-0.3.3-1.fc38.copr5817789.noarch R-CRAN-highr-0.10-1.fc38.copr5815631.noarch R-CRAN-htmltools-0.5.5-1.fc38.copr5817794.x86_64 R-CRAN-htmlwidgets-1.6.2-1.fc38.copr5826992.noarch R-CRAN-inline-0.3.19-1.fc38.copr5812127.noarch R-CRAN-isoband-0.2.7-1.fc38.copr5813294.x86_64 R-CRAN-jquerylib-0.1.4-1.fc38.copr5820526.noarch R-CRAN-jsonlite-1.8.4-1.fc38.copr5812131.x86_64 R-CRAN-knitr-1.42-1.fc38.copr5817825.noarch R-CRAN-labeling-0.4.2-1.fc38.copr5812144.noarch R-CRAN-lattice-0.21.8-1.fc38.copr5814828.x86_64 R-CRAN-lifecycle-1.0.3-1.fc38.copr5816294.noarch R-CRAN-loo-2.6.0-1.fc38.copr5817796.noarch R-CRAN-lubridate-1.9.2-1.fc38.copr5817809.x86_64 R-CRAN-magrittr-2.0.3-1.fc38.copr5812133.x86_64 R-CRAN-matrixStats-0.63.0-1.fc38.copr5812117.x86_64 R-CRAN-memoise-2.0.1-1.fc38.copr5817811.noarch R-CRAN-mgcv-1.8.42-1.fc38.copr5819019.x86_64 R-CRAN-mime-0.12-1.fc38.copr5812138.x86_64 R-CRAN-munsell-0.5.0-3.fc38.copr5815607.noarch R-CRAN-nlme-3.1.162-1.fc38.copr5817249.x86_64 R-CRAN-pillar-1.9.0-1.fc38.copr5819458.noarch R-CRAN-pkgbuild-1.4.0-1.fc38.copr5819456.noarch R-CRAN-pkgconfig-2.0.3-3.fc38.copr5812134.noarch R-CRAN-prettyunits-1.1.1-3.fc38.copr5812159.noarch R-CRAN-processx-3.8.1-1.fc38.copr5815609.x86_64 R-CRAN-ps-1.7.5-1.fc38.copr5812153.x86_64 R-CRAN-purrr-1.0.1-1.fc38.copr5819453.x86_64 R-CRAN-rappdirs-0.3.3-1.fc38.copr5812248.x86_64 R-CRAN-rlang-1.1.0-1.fc38.copr5812121.x86_64 R-CRAN-rmarkdown-2.21-1.fc38.copr5826113.noarch R-CRAN-rprojroot-2.0.3-1.fc38.copr5812160.noarch R-CRAN-rstan-2.21.8-1.fc38.copr5826997.x86_64 R-CRAN-rstantools-2.3.1-1.fc38.copr5817787.noarch R-CRAN-sass-0.4.5-1.fc38.copr5820330.x86_64 R-CRAN-scales-1.2.1-1.fc38.copr5817798.noarch R-CRAN-stringi-1.7.12-1.fc38.copr5812147.x86_64 R-CRAN-stringr-1.5.0-1.fc38.copr5819451.noarch R-CRAN-tibble-3.2.1-1.fc38.copr5821162.x86_64 R-CRAN-tidyr-1.3.0-1.fc38.copr5826999.x86_64 R-CRAN-tidyselect-1.2.0-1.fc38.copr5819454.noarch R-CRAN-timechange-0.2.0-1.fc38.copr5816989.x86_64 R-CRAN-tinytex-0.45-1.fc38.copr5815647.noarch R-CRAN-utf8-1.2.3-1.fc38.copr5812151.x86_64 R-CRAN-vctrs-0.6.2-1.fc38.copr5817801.x86_64 R-CRAN-viridisLite-0.4.1-1.fc38.copr5812125.noarch R-CRAN-withr-2.5.0-1.fc38.copr5812126.noarch R-CRAN-xfun-0.39-1.fc38.copr5812137.x86_64 R-CRAN-xts-0.13.1-1.fc38.copr5817793.x86_64 R-CRAN-yaml-2.3.7-1.fc38.copr5812143.x86_64 R-CRAN-zoo-1.8.12-1.fc38.copr5815602.x86_64 R-core-4.3.0-1.fc38~bootstrap.x86_64 R-core-devel-4.3.0-1.fc38~bootstrap.x86_64 R-devel-4.3.0-1.fc38~bootstrap.x86_64 R-java-4.3.0-1.fc38~bootstrap.x86_64 R-java-devel-4.3.0-1.fc38~bootstrap.x86_64 R-littler-0.3.18-1.fc38.x86_64 R-rpm-macros-1.2.1-6.fc38.noarch alsa-lib-1.2.8-3.fc38.x86_64 annobin-docs-12.02-1.fc38.noarch annobin-plugin-gcc-12.02-1.fc38.x86_64 avahi-libs-0.8-22.fc38.x86_64 brotli-1.0.9-11.fc38.x86_64 brotli-devel-1.0.9-11.fc38.x86_64 bzip2-devel-1.0.8-13.fc38.x86_64 cairo-1.17.8-3.fc38.x86_64 cmake-filesystem-3.26.3-1.fc38.x86_64 copy-jdk-configs-4.1-2.fc38.noarch cpp-13.0.1-0.12.fc38.x86_64 crypto-policies-scripts-20230301-1.gita12f7b2.fc38.noarch cups-libs-1:2.4.2-11.fc38.x86_64 dbus-libs-1:1.14.6-1.fc38.x86_64 dejavu-sans-fonts-2.37-20.fc38.noarch desktop-file-utils-0.26-8.fc38.x86_64 emacs-filesystem-1:28.2-4.fc38.noarch expat-2.5.0-2.fc38.x86_64 flexiblas-3.3.1-1.fc38.x86_64 flexiblas-devel-3.3.1-1.fc38.x86_64 flexiblas-netlib-3.3.1-1.fc38.x86_64 flexiblas-netlib64-3.3.1-1.fc38.x86_64 flexiblas-openblas-openmp-3.3.1-1.fc38.x86_64 flexiblas-openblas-openmp64-3.3.1-1.fc38.x86_64 fontconfig-2.14.2-1.fc38.x86_64 fontconfig-devel-2.14.2-1.fc38.x86_64 fonts-filesystem-1:2.0.5-11.fc38.noarch freetype-2.13.0-2.fc38.x86_64 freetype-devel-2.13.0-2.fc38.x86_64 fribidi-1.0.12-3.fc38.x86_64 gc-8.2.2-3.fc38.x86_64 gcc-13.0.1-0.12.fc38.x86_64 gcc-c++-13.0.1-0.12.fc38.x86_64 gcc-gfortran-13.0.1-0.12.fc38.x86_64 gcc-plugin-annobin-13.0.1-0.12.fc38.x86_64 gettext-0.21.1-2.fc38.x86_64 gettext-envsubst-0.21.1-2.fc38.x86_64 gettext-libs-0.21.1-2.fc38.x86_64 gettext-runtime-0.21.1-2.fc38.x86_64 glib2-2.76.1-1.fc38.x86_64 glib2-devel-2.76.1-1.fc38.x86_64 glibc-devel-2.37-1.fc38.x86_64 glibc-headers-x86-2.37-1.fc38.noarch gnutls-3.8.0-2.fc38.x86_64 google-noto-fonts-common-20230201-1.fc38.noarch google-noto-sans-vf-fonts-20230201-1.fc38.noarch graphite2-1.3.14-11.fc38.x86_64 graphite2-devel-1.3.14-11.fc38.x86_64 guile22-2.2.7-7.fc38.x86_64 harfbuzz-7.1.0-1.fc38.x86_64 harfbuzz-devel-7.1.0-1.fc38.x86_64 harfbuzz-icu-7.1.0-1.fc38.x86_64 java-17-openjdk-1:17.0.6.0.10-1.fc38.x86_64 java-17-openjdk-devel-1:17.0.6.0.10-1.fc38.x86_64 java-17-openjdk-headless-1:17.0.6.0.10-1.fc38.x86_64 javapackages-filesystem-6.1.0-7.fc38.noarch jbigkit-libs-2.1-25.fc38.x86_64 kernel-headers-6.2.6-300.fc38.x86_64 langpacks-core-font-en-3.0-32.fc38.noarch lcms2-2.15-1.fc38.x86_64 libICE-1.0.10-10.fc38.x86_64 libRmath-4.3.0-1.fc38~bootstrap.x86_64 libRmath-devel-4.3.0-1.fc38~bootstrap.x86_64 libSM-1.2.3-12.fc38.x86_64 libX11-1.8.4-1.fc38.x86_64 libX11-common-1.8.4-1.fc38.noarch libX11-devel-1.8.4-1.fc38.x86_64 libX11-xcb-1.8.4-1.fc38.x86_64 libXau-1.0.11-2.fc38.x86_64 libXau-devel-1.0.11-2.fc38.x86_64 libXcomposite-0.4.5-9.fc38.x86_64 libXext-1.3.5-2.fc38.x86_64 libXft-2.3.6-2.fc38.x86_64 libXft-devel-2.3.6-2.fc38.x86_64 libXi-1.8-4.fc38.x86_64 libXmu-1.1.4-2.fc38.x86_64 libXrender-0.9.11-2.fc38.x86_64 libXrender-devel-0.9.11-2.fc38.x86_64 libXt-1.2.1-4.fc38.x86_64 libXtst-1.2.4-2.fc38.x86_64 libart_lgpl-2.3.21-29.fc38.x86_64 libb2-0.98.1-8.fc38.x86_64 libblkid-devel-2.38.1-4.fc38.x86_64 libdatrie-0.2.13-5.fc38.x86_64 libffi-devel-3.4.4-2.fc38.x86_64 libfontenc-1.1.6-2.fc38.x86_64 libgfortran-13.0.1-0.12.fc38.x86_64 libicu-72.1-2.fc38.x86_64 libicu-devel-72.1-2.fc38.x86_64 libimagequant-2.17.0-4.fc38.x86_64 libjpeg-turbo-2.1.4-2.fc38.x86_64 libmount-devel-2.38.1-4.fc38.x86_64 libmpc-1.3.1-2.fc38.x86_64 libpng-2:1.6.37-14.fc38.x86_64 libpng-devel-2:1.6.37-14.fc38.x86_64 libquadmath-13.0.1-0.12.fc38.x86_64 libquadmath-devel-13.0.1-0.12.fc38.x86_64 libraqm-0.8.0-4.fc38.x86_64 libselinux-devel-3.5-1.fc38.x86_64 libsepol-devel-3.5-1.fc38.x86_64 libstdc++-devel-13.0.1-0.12.fc38.x86_64 libthai-0.1.29-4.fc38.x86_64 libtiff-4.4.0-5.fc38.x86_64 libtirpc-devel-1.3.3-1.fc38.x86_64 libtool-ltdl-2.4.7-6.fc38.x86_64 libunistring-1.1-3.fc38.x86_64 libwebp-1.3.0-2.fc38.x86_64 libxcb-1.13.1-11.fc38.x86_64 libxcb-devel-1.13.1-11.fc38.x86_64 libxcrypt-devel-4.4.33-7.fc38.x86_64 libxml2-devel-2.10.4-1.fc38.x86_64 libyaml-0.2.5-9.fc38.x86_64 lksctp-tools-1.0.19-3.fc38.x86_64 lua-5.4.4-9.fc38.x86_64 lua-posix-35.1-5.fc38.x86_64 make-1:4.4-3.fc38.x86_64 mkfontscale-1.2.2-3.fc38.x86_64 mpdecimal-2.5.1-6.fc38.x86_64 nettle-3.8-3.fc38.x86_64 nspr-4.35.0-6.fc38.x86_64 nss-3.89.0-2.fc38.x86_64 nss-softokn-3.89.0-2.fc38.x86_64 nss-softokn-freebl-3.89.0-2.fc38.x86_64 nss-sysinit-3.89.0-2.fc38.x86_64 nss-util-3.89.0-2.fc38.x86_64 openblas-0.3.21-4.fc38.x86_64 openblas-openmp-0.3.21-4.fc38.x86_64 openblas-openmp64-0.3.21-4.fc38.x86_64 openjpeg2-2.5.0-3.fc38.x86_64 pandoc-2.19.2-21.fc38.x86_64 pandoc-common-2.19.2-21.fc38.noarch pango-1.50.14-1.fc38.x86_64 pcre2-devel-10.42-1.fc38.1.x86_64 pcre2-utf16-10.42-1.fc38.1.x86_64 pcre2-utf32-10.42-1.fc38.1.x86_64 pixman-0.42.2-1.fc38.x86_64 python-pip-wheel-22.3.1-2.fc38.noarch python-setuptools-wheel-65.5.1-2.fc38.noarch python3-3.11.3-1.fc38.x86_64 python3-docutils-0.19-2.fc38.noarch python3-jinja2-3.0.3-7.fc38.noarch python3-libs-3.11.3-1.fc38.x86_64 python3-markupsafe-2.1.2-1.fc38.x86_64 python3-olefile-0.46-19.fc38.noarch python3-pdfrw-0.4-19.fc38.noarch python3-pillow-9.4.0-2.fc38.x86_64 python3-pygments-2.14.0-1.fc38.noarch python3-reportlab-3.6.12-2.fc38.x86_64 python3-setuptools-65.5.1-2.fc38.noarch python3-six-1.16.0-9.fc38.noarch python3-smartypants-2.0.1-15.fc38.noarch rst2pdf-0.97-11.fc38.noarch sysprof-capture-devel-3.48.0-1.fc38.x86_64 tbb-2020.3-16.fc38.x86_64 tbb-devel-2020.3-16.fc38.x86_64 tcl-1:8.6.12-4.fc38.x86_64 tcl-devel-1:8.6.12-4.fc38.x86_64 tk-1:8.6.12-4.fc38.x86_64 tk-devel-1:8.6.12-4.fc38.x86_64 tre-0.8.0-39.20140228gitc2f5d13.fc38.x86_64 tre-common-0.8.0-39.20140228gitc2f5d13.fc38.noarch tre-devel-0.8.0-39.20140228gitc2f5d13.fc38.x86_64 ttmkfdir-3.0.9-67.fc38.x86_64 tzdata-java-2023c-1.fc38.noarch xdg-utils-1.1.3-13.fc38.noarch xml-common-0.6.3-60.fc38.noarch xorg-x11-fonts-Type1-7.5-35.fc38.noarch xorg-x11-proto-devel-2022.2-3.fc38.noarch xz-devel-5.4.1-1.fc38.x86_64 zlib-devel-1.2.13-3.fc38.x86_64 Complete! Finish: build setup for R-CRAN-prophet-1.0-1.fc38.copr5831820.src.rpm Start: rpmbuild R-CRAN-prophet-1.0-1.fc38.copr5831820.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.FQ1qVb + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf prophet + /usr/bin/mkdir -p prophet + cd prophet + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/prophet_1.0.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + /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 prophet/src ']' + find prophet/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@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.cNugyh + 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 -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 -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-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 -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + 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 prophet + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.NMj47J + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64 ++ dirname /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.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 -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 -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-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 -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + 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 prophet + mkdir -p /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64/usr/local/lib/R/library + /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64/usr/local/lib/R/library prophet * installing *source* package 'prophet' ... ** package 'prophet' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (GCC) 13.0.1 20230401 (Red Hat 13.0.1-0)' using C++17 g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I"../inst/include" -I"/usr/local/lib/R/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -D_HAS_AUTO_PTR_ETC=0 -I'/usr/local/lib/R/library/BH/include' -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppParallel/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/rstan/include' -I'/usr/local/lib/R/library/StanHeaders/include' -I/usr/local/include -I/usr/include/tbb -I'/usr/local/lib/R/library/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -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 -flto -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:30, 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:31: /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] g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I"../inst/include" -I"/usr/local/lib/R/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -D_HAS_AUTO_PTR_ETC=0 -I'/usr/local/lib/R/library/BH/include' -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppParallel/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/rstan/include' -I'/usr/local/lib/R/library/StanHeaders/include' -I/usr/local/include -I/usr/include/tbb -I'/usr/local/lib/R/library/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -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 -flto -c stanExports_prophet.cc -o stanExports_prophet.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/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/local/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, from stanExports_prophet.h:6, from stanExports_prophet.cc: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/BH/include/boost/smart_ptr/shared_ptr.hpp:17, from /usr/local/lib/R/library/BH/include/boost/shared_ptr.hpp:17, from /usr/local/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, from /usr/local/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, from /usr/local/lib/R/library/rstan/include/rstan/rstaninc.hpp:4: /usr/local/lib/R/library/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 361 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from /usr/include/c++/13/memory:78, from /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:7: /usr/include/c++/13/bits/unique_ptr.h:66:28: note: declared here 66 | template class auto_ptr; | ^~~~~~~~ /usr/local/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 250 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > | ^~~~~~~~ /usr/include/c++/13/bits/unique_ptr.h:66:28: note: declared here 66 | template class auto_ptr; | ^~~~~~~~ /usr/local/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 507 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ /usr/include/c++/13/bits/unique_ptr.h:66:28: note: declared here 66 | template class auto_ptr; | ^~~~~~~~ /usr/local/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 520 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ /usr/include/c++/13/bits/unique_ptr.h:66:28: note: declared here 66 | template class auto_ptr; | ^~~~~~~~ /usr/local/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 603 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ /usr/include/c++/13/bits/unique_ptr.h:66:28: note: declared here 66 | template class auto_ptr; | ^~~~~~~~ /usr/local/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 612 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ /usr/include/c++/13/bits/unique_ptr.h:66:28: note: declared here 66 | template class auto_ptr; | ^~~~~~~~ /usr/local/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': /usr/local/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 614 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ /usr/include/c++/13/bits/unique_ptr.h:66:28: note: declared here 66 | template class auto_ptr; | ^~~~~~~~ In file included from /usr/local/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /usr/local/lib/R/library/BH/include/boost/mpl/arg.hpp:25, from /usr/local/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24, from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_categories.hpp:16, from /usr/local/lib/R/library/BH/include/boost/iterator/iterator_facade.hpp:13, from /usr/local/lib/R/library/BH/include/boost/range/iterator_range_core.hpp:27, from /usr/local/lib/R/library/BH/include/boost/lexical_cast.hpp:30, from /usr/local/lib/R/library/rstan/include/rstan/stan_args.hpp:12, from /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:20: /usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp: At global scope: /usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /usr/local/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - 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/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14: /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' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: 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/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: 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] 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/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: 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, 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/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:35: required from here /usr/local/lib/R/library/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/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:9, from /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/core.hpp:4, from /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat.hpp:6, from /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat.hpp:12, from /usr/local/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from /usr/local/lib/R/library/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from /usr/local/lib/R/library/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:35: /usr/include/tbb/task_scheduler_init.h:21:154: note: '#pragma message: TBB Warning: tbb/task_scheduler_init.h is deprecated. For details, please see Deprecated Features appendix in the TBB reference manual.' 21 | #pragma message("TBB Warning: tbb/task_scheduler_init.h is deprecated. For details, please see Deprecated Features appendix in the TBB reference manual.") | ^ /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/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: 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] 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/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> >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: 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, 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, 0> >, 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, 0> >, 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, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: 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 >, 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/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:23: 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, 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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:31: 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, 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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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_lpnorm<1, double>, 0>, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:33: 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, -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: 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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:32: 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 '__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 >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: 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::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/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: 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, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: 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, 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/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here /usr/local/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/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: 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 '__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/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: 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::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/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: 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/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/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:38: 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::Matrix, const Eigen::Matrix >, 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::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 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::Matrix >, 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::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, 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::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: 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, 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/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: 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::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 > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:30: 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, 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/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: 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] In file included from /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:5, from /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat.hpp:278: /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp: In function 'stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&)': /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:60:9: warning: typedef 'using T_partials_vec = struct Eigen::Matrix::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs] 60 | using T_partials_vec = typename Eigen::Matrix; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: 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] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, 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, 5>, Eigen::Matrix, 0, 7>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: 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 > >, Eigen::Product, 5>, 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, 5>, 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, 5>, 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, 5>, 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, 5>, 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, 5>, Eigen::Matrix, 0>, 2>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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>, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 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, 1>, Eigen::Matrix, 0, 7>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 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, 1>, Eigen::Matrix, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: 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, Eigen::TriangularView >, 2>, 0>, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: 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>': /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/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: 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 >, 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::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::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::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::Matrix >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: 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::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::CwiseBinaryOp, const Eigen::Transpose >, 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::CwiseBinaryOp, const Eigen::Transpose >, 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::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: 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::CwiseBinaryOp, const Eigen::Transpose >, 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::CwiseBinaryOp, const Eigen::Transpose >, 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::CwiseBinaryOp, const Eigen::Transpose >, 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::CwiseBinaryOp, const Eigen::Transpose >, 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::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: 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: 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/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:11: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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> > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: 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, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 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, 0> > > > >' /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, 0> > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, 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::ArrayWrapper, 0> > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: 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 >, 6>, Eigen::Matrix >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:117:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:117:51: 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/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/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: 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 '__m128d'} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: 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 '__m128d'} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: 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 > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, 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::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, 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::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: 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 > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 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 >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: 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>, 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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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>, Eigen::Matrix >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: 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::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/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:28: recursively required by substitution of 'template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: 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, const Eigen::CwiseUnaryOp, 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::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::Array > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, 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::Array > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::CwiseUnaryOp, 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::CwiseUnaryOp, const Eigen::Array > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 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::CwiseUnaryOp, const Eigen::Array > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, 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, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, 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, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: 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::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, 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::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, 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::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: 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, 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/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, 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::Map, 0, Eigen::Stride<0, 0> >, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: 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 '__m128i'} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, 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, 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, const Eigen::Array > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, 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::Array, const Eigen::Array >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: 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::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: 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 >, 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 >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: 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::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 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::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 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::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 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::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 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::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: 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::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:135:58: recursively required by substitution of 'template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:135:58: 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:23: recursively required by substitution of 'template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:23: 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, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: 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::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::CwiseNullaryOp, const Eigen::Array >, const 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::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::Array >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::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::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::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::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::Array >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::CwiseUnaryOp, 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const 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::CwiseUnaryOp, const 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::CwiseUnaryOp, 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:28: recursively required by substitution of 'template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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, 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::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::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::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::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: 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, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, 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::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: 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, const Eigen::Array, const Eigen::CwiseBinaryOp, 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::Array, const Eigen::CwiseBinaryOp, 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::Array, const Eigen::CwiseBinaryOp, 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::Array, const Eigen::CwiseBinaryOp, 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::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: 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, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::CwiseNullaryOp, const Eigen::Array >, const 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::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::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::Array >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const 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::CwiseNullaryOp, const Eigen::Array >, const 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::CwiseNullaryOp, const Eigen::Array >, 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here /usr/local/lib/R/library/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/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5, from /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat.hpp:328: /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)': /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:52:9: warning: typedef 'using T_alpha_val = std::conditional_t::value, Eigen::Array::type, -1, 1>, typename stan::partials_return_type::type>' locally defined but not used [-Wunused-local-typedefs] 52 | using T_alpha_val = typename std::conditional_t< | ^~~~~~~~~~~ In file included from /usr/local/lib/R/library/BH/include/boost/numeric/ublas/traits.hpp:21, from /usr/local/lib/R/library/BH/include/boost/numeric/ublas/storage.hpp:27, from /usr/local/lib/R/library/BH/include/boost/numeric/ublas/vector.hpp:21, from /usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from /usr/local/lib/R/library/BH/include/boost/numeric/odeint.hpp:25, from /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17, from /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/arr.hpp:34, from /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat.hpp:336: /usr/local/lib/R/library/BH/include/boost/numeric/ublas/detail/iterator.hpp: At global scope: /usr/local/lib/R/library/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/13/bits/stl_algobase.h:65, from /usr/include/c++/13/bits/specfun.h:43, from /usr/include/c++/13/cmath:3716, from /usr/local/lib/R/library/Rcpp/include/Rcpp/platform/compiler.h:100, from /usr/local/lib/R/library/Rcpp/include/Rcpp/r/headers.h:62, from /usr/local/lib/R/library/Rcpp/include/RcppCommon.h:30, from /usr/local/lib/R/library/Rcpp/include/Rcpp.h:27, from stanExports_prophet.cc:3: /usr/include/c++/13/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /usr/local/lib/R/library/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/13/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /usr/local/lib/R/library/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/13/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from /usr/local/lib/R/library/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from /usr/local/lib/R/library/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from /usr/local/lib/R/library/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from /usr/local/lib/R/library/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from /usr/local/lib/R/library/BH/include/boost/fusion/include/make_fused.hpp:11, from /usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/resize.hpp:28, from /usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /usr/local/lib/R/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: /usr/local/lib/R/library/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ /usr/include/c++/13/bits/unique_ptr.h:66:28: note: declared here 66 | template class auto_ptr; | ^~~~~~~~ /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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here /usr/local/lib/R/library/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>, Eigen::TriangularView, -1, -1, false>, 1>, 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::TriangularView, -1, -1, false>, 1>, 0> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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::TriangularView, -1, -1, false>, 1>, 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::TriangularView, -1, -1, false>, 1>, 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::TriangularView, -1, -1, false>, 1>, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: 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> >, 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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:24: 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, -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> >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:59: 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, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -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> >, 2>, Eigen::Transpose, -1, -1, false> > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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>, Eigen::Transpose, -1, -1, false> > > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -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> >, 2>, Eigen::Transpose, -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> >, 2>, Eigen::Transpose, -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> >, 2>, Eigen::Transpose, -1, -1, false> > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:31: 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, -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: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: 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, -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: required from 'class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: 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, -1, -1, false>, 1>, 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>, 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>, 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>, 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>, 1>, 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>, Eigen::Block, -1, -1, false>, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: 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, -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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:21: 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>': /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/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, 1>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from 'class Eigen::Ref >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:61:39: required from 'class Eigen::LLT >, 1>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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, 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: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 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/CoreEvaluators.h:811:41: required from 'struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >' /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 > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits > >::match > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:101: required by substitution of 'template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 > >::val_Op, Eigen::Map > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Map > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: 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 > >::adj_Op, Eigen::Map > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 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::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' /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::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' /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::CwiseUnaryView > >::val_Op, Eigen::Map > >, 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::CwiseUnaryView > >::val_Op, Eigen::Map > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: 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, 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/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: 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::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/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: 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 > >::val_Op, Eigen::Ref > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: 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: 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/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: 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> > >, 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> > > >' /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/Inverse.h:69:7: required from 'class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: 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> > > >, 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> > > > >' /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> > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: 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 > >::adj_Op, Eigen::Map > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 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::Transpose, 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::Transpose, 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::Transpose, 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::Transpose, 0, Eigen::Stride<0, 0> > > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: 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 >::adj_Op, Eigen::Matrix >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:12: 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 >::val_Op, const Eigen::Matrix >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:15: 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, 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: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:38: 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, 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, 8>' /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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 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::Matrix, 0>, Eigen::Transpose, 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::Matrix, 0>, Eigen::Transpose, 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::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' /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::Transpose, 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::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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, const Eigen::ArrayWrapper, 0> > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: 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 >::val_Op, const Eigen::Matrix >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:31: 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::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 > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: 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 > >, 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 > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:46: 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 > >::adj_Op, Eigen::Map > > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:24: 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 > >::val_Op, Eigen::Map > > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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 > >::val_Op, Eigen::Map > > >, 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 > >::val_Op, Eigen::Map > > >, 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 > >::val_Op, Eigen::Map > > >, 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 > >::val_Op, Eigen::Map > > >, 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 > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: 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::ArrayWrapper > >::val_Op, Eigen::Map > > >, 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 > >::val_Op, Eigen::Map > > >, 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 > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 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::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:71: 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: 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, 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, 8>' /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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: 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::Transpose, 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, Eigen::Transpose, 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, Eigen::Transpose, 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, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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::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, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: 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: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/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: 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 '__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::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:121:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>' /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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: 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/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, 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:121:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>' /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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: 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 '__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::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 > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: 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] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: 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::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: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: 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::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/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: 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::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: 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::Product, Eigen::Transpose, 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 >, Eigen::Product, Eigen::Transpose, 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 >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: 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 >, 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/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: 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 > >::val_Op, Eigen::Map > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Map > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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 > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: 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::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/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::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::CwiseUnaryOp, 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::CwiseUnaryOp, 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::CwiseUnaryOp, 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::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: 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] In file included from /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat.hpp:51: /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vv_vari::var_squared_distance(const Eigen::Matrix&, const Eigen::Matrix&)': /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:27:11: warning: typedef 'using idx_t = using stan::math::index_type >::type = Eigen::EigenBase >::Index' locally defined but not used [-Wunused-local-typedefs] 27 | using idx_t = typename index_type::type; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here /usr/local/lib/R/library/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::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 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::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >' /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::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >' /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::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 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::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: 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 >, 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/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77: required from 'class Eigen::Ref >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: 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::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: 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/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vd_vari::var_squared_distance(const Eigen::Matrix&, const Eigen::Matrix&)': /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:64:11: warning: typedef 'using idx_t = using stan::math::index_type, void>::type = Eigen::EigenBase >::Index' locally defined but not used [-Wunused-local-typedefs] 64 | using idx_t = typename index_type::type; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, 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::CwiseUnaryView > >::val_Op, Eigen::Map > >, 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::CwiseUnaryView > >::val_Op, Eigen::Map > >, 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::CwiseUnaryView > >::val_Op, Eigen::Map > >, 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::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: 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] 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::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, 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::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, 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::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, 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::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, 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::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: 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 > >::val_Op, Eigen::Ref > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: 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 >, 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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: 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, 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>' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: 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, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /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::ArrayWrapper > > >' /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::ArrayWrapper >, 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::ArrayWrapper > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::Array >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: 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, -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 >' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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 >, 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>' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: 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::CwiseNullaryOp, 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::CwiseNullaryOp, 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::CwiseNullaryOp, 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::CwiseNullaryOp, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: 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, 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/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:48: 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::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/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: 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, 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/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: 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, 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/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: 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::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/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: 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, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: 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 >, 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/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 >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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 > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62: 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/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 >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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 > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66: 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::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 > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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 > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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 >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18: 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::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 >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: 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, 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/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: 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, 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/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> >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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/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> >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: 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, const Eigen::ArrayWrapper, 0> > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: 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, 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 > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55: 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::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 > > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: 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::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 > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: 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] In file included from /usr/local/lib/R/library/StanHeaders/include/src/stan/model/model_header.hpp:13, from stanExports_prophet.h:8: /usr/local/lib/R/library/StanHeaders/include/src/stan/model/model_base_crtp.hpp: At global scope: /usr/local/lib/R/library/StanHeaders/include/src/stan/model/model_base_crtp.hpp:149:20: warning: 'stan::math::var stan::model::model_base_crtp::log_prob(std::vector&, std::vector&, std::ostream*) const [with M = model_prophet_namespace::model_prophet; std::ostream = std::basic_ostream]' was hidden [-Woverloaded-virtual=] 149 | inline math::var log_prob(std::vector& theta, | ^~~~~~~~ stanExports_prophet.h:667:8: note: by 'model_prophet_namespace::model_prophet::log_prob' 667 | T_ log_prob(Eigen::Matrix& params_r, | ^~~~~~~~ /usr/local/lib/R/library/StanHeaders/include/src/stan/model/model_base_crtp.hpp:144:17: warning: 'double stan::model::model_base_crtp::log_prob(std::vector&, std::vector&, std::ostream*) const [with M = model_prophet_namespace::model_prophet; std::ostream = std::basic_ostream]' was hidden [-Woverloaded-virtual=] 144 | inline double log_prob(std::vector& theta, std::vector& theta_i, | ^~~~~~~~ stanExports_prophet.h:667:8: note: by 'model_prophet_namespace::model_prophet::log_prob' 667 | T_ log_prob(Eigen::Matrix& params_r, | ^~~~~~~~ /usr/local/lib/R/library/StanHeaders/include/src/stan/model/model_base_crtp.hpp:93:20: warning: 'stan::math::var stan::model::model_base_crtp::log_prob(Eigen::Matrix&, std::ostream*) const [with M = model_prophet_namespace::model_prophet; std::ostream = std::basic_ostream]' was hidden [-Woverloaded-virtual=] 93 | inline math::var log_prob(Eigen::Matrix& theta, | ^~~~~~~~ stanExports_prophet.h:667:8: note: by 'model_prophet_namespace::model_prophet::log_prob' 667 | T_ log_prob(Eigen::Matrix& params_r, | ^~~~~~~~ /usr/local/lib/R/library/StanHeaders/include/src/stan/model/model_base_crtp.hpp:88:17: warning: 'double stan::model::model_base_crtp::log_prob(Eigen::VectorXd&, std::ostream*) const [with M = model_prophet_namespace::model_prophet; Eigen::VectorXd = Eigen::Matrix; std::ostream = std::basic_ostream]' was hidden [-Woverloaded-virtual=] 88 | inline double log_prob(Eigen::VectorXd& theta, | ^~~~~~~~ stanExports_prophet.h:667:8: note: by 'model_prophet_namespace::model_prophet::log_prob' 667 | T_ log_prob(Eigen::Matrix& params_r, | ^~~~~~~~ /usr/local/lib/R/library/StanHeaders/include/src/stan/model/model_base_crtp.hpp:195:8: warning: 'void stan::model::model_base_crtp::write_array(boost::random::ecuyer1988&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with M = model_prophet_namespace::model_prophet; boost::random::ecuyer1988 = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' was hidden [-Woverloaded-virtual=] 195 | void write_array(boost::ecuyer1988& rng, std::vector& theta, | ^~~~~~~~~~~ stanExports_prophet.h:778:10: note: by 'model_prophet_namespace::model_prophet::write_array' 778 | void write_array(RNG& base_rng, | ^~~~~~~~~~~ /usr/local/lib/R/library/StanHeaders/include/src/stan/model/model_base_crtp.hpp:133:8: warning: 'void stan::model::model_base_crtp::write_array(boost::random::ecuyer1988&, Eigen::VectorXd&, Eigen::VectorXd&, bool, bool, std::ostream*) const [with M = model_prophet_namespace::model_prophet; boost::random::ecuyer1988 = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::VectorXd = Eigen::Matrix; std::ostream = std::basic_ostream]' was hidden [-Woverloaded-virtual=] 133 | void write_array(boost::ecuyer1988& rng, Eigen::VectorXd& theta, | ^~~~~~~~~~~ stanExports_prophet.h:778:10: note: by 'model_prophet_namespace::model_prophet::write_array' 778 | void write_array(RNG& base_rng, | ^~~~~~~~~~~ stanExports_prophet.h: In member function 'virtual void model_prophet_namespace::model_prophet::transform_inits(const stan::io::var_context&, std::vector&, std::vector&, std::ostream*) const': stanExports_prophet.h:476:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs] 476 | typedef double local_scalar_t__; | ^~~~~~~~~~~~~~~~ /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/Cholesky/LLT.h:441:91: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, 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: [ 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>, 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>, 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>, 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/LLT.h:441:101: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, 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:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [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/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:46: 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, false> >': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:227:48: required from 'void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:23: 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>, 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/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:41: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:21: 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 >, 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/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> >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:49: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:21: 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::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >' /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::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:43: 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, 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/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from 'Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39: 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] In file included from /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:52: /usr/local/lib/R/library/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long unsigned int]': /usr/local/lib/R/library/StanHeaders/include/src/stan/io/array_var_context.hpp:97:48: required from here /usr/local/lib/R/library/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long unsigned int'} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { | ~~^~~~~~~~~~~~~ /usr/local/lib/R/library/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long int]': /usr/local/lib/R/library/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here /usr/local/lib/R/library/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long unsigned int'} [-Wsign-compare] /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/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: 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] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]': stanExports_prophet.cc:30:89: required from here /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable] 1238 | int ret = stan::services::error_codes::CONFIG; | ^~~ /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>, 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>, 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>, 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, true>, -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, true>, -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, true>, -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: 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>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:52: 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::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/Core/Dot.h:244:22: required from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; RealScalar = 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::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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: [ 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, 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>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:33: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, -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 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>, -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>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:43: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, 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>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, 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 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, false>, 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>, 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/LLT.h:441:101: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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, 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 > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from 'Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const Eigen::VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:42: required from 'auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = internal::softmax_op; Targs = {Eigen::Matrix}]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:45: 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::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::CwiseBinaryOp, 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 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::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:41: required from 'Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const Eigen::VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:42: required from 'auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = internal::softmax_op; Targs = {Eigen::Matrix}]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:45: 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 >, 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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/StanHeaders/include/stan/math/prim/mat/fun/rep_row_vector.hpp:15:70: required from 'Eigen::Matrix::type, 1, -1> stan::math::rep_row_vector(const T&, int) [with T = int; typename stan::return_type::type = double]' stanExports_prophet.h:58:49: required from 'Eigen::Matrix::type, -1, -1> model_prophet_namespace::get_changepoint_matrix(const Eigen::Matrix&, const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_prophet.h:448:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet; Eigen::MatrixXd = Eigen::Matrix]': /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:30:89: required from here /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:91:22: warning: comparison of integer expressions of different signedness: 'std::vector >::size_type' {aka 'long unsigned int'} and 'Eigen::Index' {aka 'long int'} [-Wsign-compare] 91 | if (p_names.size() != draws.cols()) { | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:109:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long unsigned int'} and 'Eigen::Index' {aka 'long int'} [-Wsign-compare] 109 | for (size_t i = 0; i < draws.rows(); ++i) { | ~~^~~~~~~~~~~~~~ /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: 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/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:65: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet; Eigen::MatrixXd = Eigen::Matrix]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:30:89: required from here /usr/local/lib/R/library/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> >, 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/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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>, 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/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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/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: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:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -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, const Eigen::Block, -1, 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, -1, 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, -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:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [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/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:46: 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: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:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -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, const Eigen::Block, -1, 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, -1, 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, -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:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [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/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:46: 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] 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/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:69: 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/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/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:19: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_cholesky_factor.hpp:7, from /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat.hpp:9: /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal::check(const char*, const char*, const T_y&, const T_high&) [with T_y = long unsigned int; T_high = long int; bool is_vec = false]': /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:64:74: required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = long unsigned int; T_high = long int]' /usr/local/lib/R/library/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36: required from 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long int]' /usr/local/lib/R/library/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:19:15: warning: comparison of integer expressions of different signedness: 'const long unsigned int' and 'long int' [-Wsign-compare] 19 | if (!(y <= high_vec[n])) { | ~~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'void stan::services::get_model_parameters(const Model&, std::vector >&, std::vector >&) [with Model = model_prophet_namespace::model_prophet]': /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:105:23: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet; Eigen::MatrixXd = Eigen::Matrix]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:30:89: required from here /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:41:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long unsigned int'} [-Wsign-compare] 41 | for (int j = 0; j < dimss[i].size(); ++j) | ~~^~~~~~~~~~~~~~~~~ /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/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, 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/LLT.h:325:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, -1, -1, false>, 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, -1, -1, false>, 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, -1, -1, false>, 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, -1, -1, false>, Eigen::Transpose, 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::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, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, -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/Cholesky/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, -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/Cholesky/LLT.h:317:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, -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/Cholesky/LLT.h:318:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, -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/Cholesky/LLT.h:325:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -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>, -1, -1, false>, Eigen::Transpose, -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>, -1, -1, false>, Eigen::Transpose, -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>, -1, -1, false>, Eigen::Transpose, -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>, -1, -1, false>, Eigen::Transpose, -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>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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/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/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:69: 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/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/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:69: 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/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:69: 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] 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::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_max_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_max_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:438:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:20: 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 '__m128i'} [-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::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/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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] 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>, 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/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, -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/LLT.h:351:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, -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/LLT.h:357:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >' /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::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; 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::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from 'static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from 'stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long unsigned int]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument '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 = 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::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::Matrix; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:54: 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>, 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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] 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::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 > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:31: required from 'static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29: 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::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/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::ArrayWrapper > >, 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::ArrayWrapper > > >' /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::ArrayWrapper > > >' /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::ArrayWrapper >, 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::ArrayWrapper > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:58:12: required from 'Eigen::Matrix::type, R, C> stan::math::add(const T1&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]' stanExports_prophet.h:229:86: required from 'Eigen::Matrix::type>::type, -1, 1> model_prophet_namespace::linear_trend(const T0__&, const T1__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_prophet.h:751:55: required from 'void model_prophet_namespace::model_prophet::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:26:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from 'Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]' stanExports_prophet.h:229:69: required from 'Eigen::Matrix::type>::type, -1, 1> model_prophet_namespace::linear_trend(const T0__&, const T1__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_prophet.h:751:55: required from 'void model_prophet_namespace::model_prophet::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:26:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: 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:961:41: 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: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: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with 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/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/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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/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: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with 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/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/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, 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/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, 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:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [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/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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 '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:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [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/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:46: 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/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 = 2; 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 = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]' /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::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' /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::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:43: 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/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: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::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>]' /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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: 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] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /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: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /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::Transpose, -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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: 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 >, -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/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, 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/LLT.h:325:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, -1, -1, false>, 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 >, -1, -1, false>, 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 >, -1, -1, false>, 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 >, -1, -1, false>, Eigen::Transpose >, 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::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 >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, -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/Cholesky/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, -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/Cholesky/LLT.h:317:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, -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/Cholesky/LLT.h:318:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, -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/Cholesky/LLT.h:325:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -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>, -1, -1, false>, Eigen::Transpose >, -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>, -1, -1, false>, Eigen::Transpose >, -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>, -1, -1, false>, Eigen::Transpose >, -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>, -1, -1, false>, Eigen::Transpose >, -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>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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, 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> > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ 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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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 '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]' /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::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:43: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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] 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: required from 'class Eigen::Product, -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/Eigenvalues/Tridiagonalization.h:368:35: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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::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 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, false> >': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, -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::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]' /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 = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:35: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:63: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /usr/local/lib/R/library/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, 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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:63: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:63: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:63: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:63: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:63: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:63: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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 > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::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::Matrix >, 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::Matrix >, 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::Matrix >, Eigen::Transpose >, 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::Matrix >, 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::Matrix >, Eigen::Transpose >, 0>' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 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, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 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, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' /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::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 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::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::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::Matrix >, 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::Matrix >, 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::Matrix >, Eigen::Transpose >, 0, 8>' /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::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::Matrix >, Eigen::Transpose >, 0>' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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> >, 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> > >' /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> > >' /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::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> >' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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/Core/util/XprHelper.h:510:38: required from 'struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:175:44: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const T1&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]' stanExports_prophet.h:130:43: required from 'Eigen::Matrix::type, -1, 1> model_prophet_namespace::logistic_gamma(const T0__&, const T1__&, const Eigen::Matrix&, const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_prophet.h:188:49: required from 'Eigen::Matrix::type>::type, -1, 1> model_prophet_namespace::logistic_trend(const T0__&, const T1__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; typename boost::math::tools::promote_args::type>::type = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_prophet.h:754:57: required from 'void model_prophet_namespace::model_prophet::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:26:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >::apply(const Eigen::Matrix&):: >::scalar_t)>, const Eigen::Matrix >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >::apply(const Eigen::Matrix&):: >::scalar_t)>, const Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >::apply(const Eigen::Matrix&):: >::scalar_t)>, const Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >::apply(const Eigen::Matrix&):: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >::apply(const Eigen::Matrix&):: >::scalar_t)>, const Eigen::Matrix >' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:57:23: required from 'static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; return_t = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/inv_logit.hpp:32:53: required from 'typename stan::math::apply_scalar_unary::return_t stan::math::inv_logit(const T&) [with T = Eigen::Matrix; typename apply_scalar_unary::return_t = Eigen::Matrix]' stanExports_prophet.h:190:93: required from 'Eigen::Matrix::type>::type, -1, 1> model_prophet_namespace::logistic_trend(const T0__&, const T1__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; typename boost::math::tools::promote_args::type>::type = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_prophet.h:754:57: required from 'void model_prophet_namespace::model_prophet::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:26:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument '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::Block, -1, 1, true>, -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, true>, -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, true>, -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, true>, -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, true>, -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: 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>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:52: 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/GeneralMatrixMatrixTriangular.h:171:23: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:69: 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] 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/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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: 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::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/Core/Dot.h:244:33: required from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; RealScalar = 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::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:53: 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: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: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:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, -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, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /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/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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: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:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, -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, const Eigen::Block >, -1, 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 >, -1, 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 >, -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/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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:961:41: 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: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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /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>, 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, 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/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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: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: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with 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/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/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 >, 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/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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] 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>, 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:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [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/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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 > >, 0>': /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/Inverse.h:69:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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 '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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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] 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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/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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:63: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: 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] /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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/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::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/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [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/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 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>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -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::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 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>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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::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 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::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 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::Transpose >, 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::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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:14: 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, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' /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::Transpose, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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, -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 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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::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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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::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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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::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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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::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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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::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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:63: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: 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/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 6 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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:63: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /usr/local/lib/R/library/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 > > >' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/advi.hpp:222:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_prophet_namespace::model_prophet; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_prophet_namespace::model_prophet; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15: required from 'int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:886:18: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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> >' /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>; 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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /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::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:29: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: 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, Eigen::internal::member_lpnorm<1, double>, 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_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; 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::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:44: 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> >, 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: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>; 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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /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::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:29: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: 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, Eigen::internal::member_lpnorm<1, double>, 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_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; 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::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:44: 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 '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/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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> >': /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::Transpose >, 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::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 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::Transpose >, 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::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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/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/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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:369:45: required from 'struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 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>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -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::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 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>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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, -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 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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] 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/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; 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::Transpose >; 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:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(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:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = 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/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:35: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet; Eigen::MatrixXd = Eigen::Matrix]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:30:89: 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/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>; 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, -1, -1, false>, -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, -1, -1, false>, -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, -1, -1, false>, -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, -1, -1, false>, -1, 1, false>; Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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/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:193:21: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; 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:98:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, 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::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/products/GeneralMatrixMatrix.h:456:20: required from 'static void Eigen::internal::generic_product_impl::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>]' /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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: 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/GeneralMatrixMatrix.h:182:17: 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 = 1; 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::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; 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:98:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, 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::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /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::Transpose, -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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: 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/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 = true; bool PanelMode = false]': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:377:28: required from 'static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:513:12: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 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::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; 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::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; 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::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]' /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::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, 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>, 1>, 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>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: 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] /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: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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: 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] 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> >, 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/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: [ 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; EvalReturnType = const Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -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::Block, -1, -1, false> >, -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::Block, -1, -1, false> >, -1, -1, false>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; EvalReturnType = const Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; EvalReturnType = const Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; EvalReturnType = const Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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, 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/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: [ 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; EvalReturnType = const Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: 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 = 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 >, -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 >, -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 >, -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 >, -1, 1, false>; Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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/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>; 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 >, -1, -1, false>, -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 >, -1, -1, false>, -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 >, -1, -1, false>, -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 >, -1, -1, false>, -1, 1, false>; Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: 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::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/PartialPivLU.h:523:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:14: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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] 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, 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 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: 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, 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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:63: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /usr/local/lib/R/library/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::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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: 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::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:427:86: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/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::Product, 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::Product, 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::Product, Eigen::Transpose >, 1> > >' /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::Product, Eigen::Transpose >, 1>, 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::Product, Eigen::Transpose >, 1> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: 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::Transpose, 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::Transpose, 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::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 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::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 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::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, 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::Transpose, 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::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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, 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/Core/products/TriangularMatrixMatrix.h:303:32: [ 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; EvalReturnType = const Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 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, Eigen::Stride<0, 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, 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/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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::CwiseNullaryOp, Eigen::Matrix > >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 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 >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, 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 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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 '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: 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>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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/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::Transpose, 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::Transpose, 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::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 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::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 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::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:14: 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 '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]' /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>; 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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /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::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:29: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: 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, Eigen::internal::member_lpnorm<1, double>, 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_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; 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::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:44: 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/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 = true]': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; 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::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; EvalReturnType = const Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:53: 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/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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::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>]' /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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: 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] 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: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 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::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>]' /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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: 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, -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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::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>]' /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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: 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, -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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::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>]' /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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: 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, -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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /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::Transpose, -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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: 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, -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:578:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /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::Transpose, -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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: 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::Transpose, -1, -1, false> >, 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, false> >, 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, false> >, 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, false> >, 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, false> >, 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, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; 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>; CoeffReturnType = double; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /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::Transpose, -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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: 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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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 '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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, | ^~~~~~~~~ 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: 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, 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 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::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::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::Matrix, 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/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: 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, 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::Diagonal, 0>; 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::Diagonal, 0>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; EvalReturnType = const Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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>, -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, false>, -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, false>, -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, false>, -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, false>, -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, 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/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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::Stride<0, 0> >, -1, -1, false>, -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::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -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/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 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/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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/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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, | ^~~~~~~~~ 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::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; 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::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; 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::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 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::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 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::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -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/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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/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 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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] 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 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::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 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::Transpose >, 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::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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:14: 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 >, -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/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::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 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::Transpose >, 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::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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:14: 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::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 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::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 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::Transpose >, 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::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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:14: 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/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, 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 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::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>]' /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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: 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>, 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> >, 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> >, 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> >, 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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::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>]' /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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: 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, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /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::Transpose, -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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: 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, 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 11 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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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] 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, 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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 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 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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 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, 1> >' /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, 1> >' /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, 1, 8>' /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, 1, 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, 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/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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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, -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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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::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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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::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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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::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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -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::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -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: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; 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>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; 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::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; EvalReturnType = const Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:53: 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::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 = 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>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_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/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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; EvalReturnType = const Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:53: 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/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, false>, -1, -1, true> >; 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>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; 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>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; 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>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; 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::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; 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::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 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/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; EvalReturnType = const Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:53: 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::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::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::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, const 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, const 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, const Eigen::Matrix >, -1, 1, true>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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] 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, -1, 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, -1, false> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 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::Matrix >, 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::Matrix >, 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::Matrix >, 1, -1, false>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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/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:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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::Stride<0, 0> >, -1, -1, false>, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:33: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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::Stride<0, 0> >, -1, -1, false>, -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::Stride<0, 0> >, -1, -1, false>, -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::Stride<0, 0> >, -1, -1, false>, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -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, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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>, -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::Stride<0, 0> >, -1, -1, false>, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -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, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -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, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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 10 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::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 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::Transpose >, 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::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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:14: 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, 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, 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, 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, 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, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; 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>; 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, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long int]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' /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::Transpose, -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/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: 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, 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 10 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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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>, 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 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/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, false>, -1, -1, false> >': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, 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: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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::Stride<0, 0> >, -1, -1, false>, -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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /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/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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/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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/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 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_prophet_namespace::model_prophet; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: 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, 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 >, -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, const 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::Block, const Eigen::Matrix >, -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, const Eigen::Matrix >, -1, 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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, const Eigen::Matrix >, 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::Matrix >, 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, const Eigen::Matrix >, 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, const Eigen::Matrix >, 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, const Eigen::Matrix >, 1, -1, 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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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>, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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>, 1, -1, false>, 1, -1, false> >': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]' /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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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] 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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::Stride<0, 0> >, -1, -1, false>, -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::Stride<0, 0> >, -1, -1, false>, -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::Stride<0, 0> >, -1, -1, false>, -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::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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/CoreEvaluators.h:713:64: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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/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 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_prophet_namespace::model_prophet; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_prophet_namespace::model_prophet; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_prophet_namespace::model_prophet; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_prophet_namespace::model_prophet; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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/Core/products/TriangularSolverVector.h:78:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_prophet_namespace::model_prophet; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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 = 2; bool Conjugate = false]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_prophet_namespace::model_prophet; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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::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, 0, Eigen::Stride<0, 0> >, 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, 0, Eigen::Stride<0, 0> >, 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, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>' /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> >, 1, 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> >, 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/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = var; int Cb = 1; = void]' stanExports_prophet.h:657:91: required from 'T__ model_prophet_namespace::model_prophet::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_prophet_namespace::model_prophet; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:23:88: 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/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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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] 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 14 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::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::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::Matrix, 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/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: 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 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const 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::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::Block, const 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::Block, const Eigen::Matrix >, -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, const Eigen::Matrix >, -1, 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 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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> >': /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 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: 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> >': /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 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_prophet_namespace::model_prophet; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: 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: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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_prophet_namespace::model_prophet; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: 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, Eigen::Stride<0, 0> > >, 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::Stride<0, 0> > >, 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::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/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 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/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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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] 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> > >, 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::Stride<0, 0> > >, 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::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/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 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> > >, 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/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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; 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/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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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, 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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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::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 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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 '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 = 2; 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 = 2]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_prophet_namespace::model_prophet; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_prophet_namespace::model_prophet]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:15:87: 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, 0, Eigen::Stride<0, 0> > >, 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::Stride<0, 0> > >, 1, -1, true> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, 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::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, 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/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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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] 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> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, 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 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, 0, Eigen::Stride<0, 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, Eigen::Stride<0, 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, Eigen::Stride<0, 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, 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/MapBase.h:221:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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 >, 1, -1, false>, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' /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, false, false>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, 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, false>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; 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, 0, Eigen::Stride<0, 0> > >, 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/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::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 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, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: 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>, -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 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _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/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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: 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, 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 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = var; int Cb = 1; = void]' stanExports_prophet.h:657:91: required from 'T__ model_prophet_namespace::model_prophet::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_prophet_namespace::model_prophet; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:23:88: 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] 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> >, 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/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 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, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = var; int Cb = 1; = void]' stanExports_prophet.h:657:91: required from 'T__ model_prophet_namespace::model_prophet::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_prophet_namespace::model_prophet; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:23:88: 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, 0, Eigen::Stride<0, 0> >, -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::Stride<0, 0> >, -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::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/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = var; int Cb = 1; = void]' stanExports_prophet.h:657:91: required from 'T__ model_prophet_namespace::model_prophet::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_prophet_namespace::model_prophet; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:23:88: 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; 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 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = var; int Cb = 1; = void]' stanExports_prophet.h:657:91: required from 'T__ model_prophet_namespace::model_prophet::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_prophet_namespace::model_prophet; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:23:88: 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/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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:270:41: required from 'struct Eigen::internal::unary_evaluator, 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, 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:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = var; int Cb = 1; = void]' stanExports_prophet.h:657:91: required from 'T__ model_prophet_namespace::model_prophet::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_prophet_namespace::model_prophet; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:23:88: 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, true> >': /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, 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, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = var; int Cb = 1; = void]' stanExports_prophet.h:657:91: required from 'T__ model_prophet_namespace::model_prophet::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_prophet_namespace::model_prophet; std::ostream = std::basic_ostream]' /usr/local/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_prophet_namespace::model_prophet; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_prophet.cc:23:88: 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/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, 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, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, 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, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, 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, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, 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, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:992:18: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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, Eigen::Matrix >, 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, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 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, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 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, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 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, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 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, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]' /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::Inverse, 0, Eigen::Stride<0, 0> > >; 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 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::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: 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::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, 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::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, 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::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, 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::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, 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::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from 'std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const Eigen::VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:51: required from 'void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/local/lib/R/library/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::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 > >' /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::CwiseBinaryOp, const Eigen::Matrix, const 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::CwiseBinaryOp, const Eigen::Matrix, const 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_prophet_namespace::model_prophet; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::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::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::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::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::Map, 0, Eigen::Stride<0, 0> > >' /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::Map, 0, Eigen::Stride<0, 0> >; 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::Map, 0, Eigen::Stride<0, 0> >; 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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from 'std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const Eigen::VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:51: required from 'void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_prophet_namespace::model_prophet; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {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::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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_prophet_namespace::model_prophet; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument '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::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::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::CwiseBinaryOp, const Eigen::Matrix, 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::CwiseBinaryOp, const Eigen::Matrix, 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: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::CwiseBinaryOp, const Eigen::Matrix, const 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::CwiseBinaryOp, const Eigen::Matrix, const 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]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_prophet_namespace::model_prophet; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: 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::Matrix, 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::Matrix, 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::Matrix, 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::Matrix, 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: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::Map, 0, Eigen::Stride<0, 0> >; 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::Map, 0, Eigen::Stride<0, 0> >; 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]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from 'std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const Eigen::VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:51: required from 'void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: 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::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_prophet_namespace::model_prophet; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: 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>': /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 16 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_prophet_namespace::model_prophet; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/local/lib/R/library/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::Transpose > > >, 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::Transpose > > > >' /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::Transpose > > > >' /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::Transpose > >, 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::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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_prophet_namespace::model_prophet; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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 17 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_prophet_namespace::model_prophet; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_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 20 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_prophet_namespace::model_prophet; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /usr/local/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/local/lib/R/library/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/StanHeaders/include/stan/math/rev/core.hpp:46, from /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/mat.hpp:6: /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp: At global scope: /usr/local/lib/R/library/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:13: warning: 'void stan::math::set_zero_all_adjoints()' defined but not used [-Wunused-function] 14 | static void set_zero_all_adjoints() { | ^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function 'Eigen::internal::selfadjoint_product_impl, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const>, 0, true>::run, -1, 1, false> >(Eigen::Block, -1, 1, false>&, Eigen::Block, -1, -1, false> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]': /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: warning: 'result_65' may be used uninitialized [-Wmaybe-uninitialized] 225 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 226 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 227 | ( | ^ 228 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 230 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:39:24: note: by argument 4 of type 'const double *' to 'Eigen::internal::selfadjoint_matrix_vector_product::run(long, double const*, long, double const*, double*, double)' declared here 39 | EIGEN_DONT_INLINE void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -shared -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 -flto -fpic -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 prophet.so RcppExports.o stanExports_prophet.o -L/usr/lib64 -Wl,-rpath,/usr/lib64 -ltbb -ltbbmalloc -L/usr/local/lib/R/library/RcppParallel/lib/ -Wl,-rpath,/usr/local/lib/R/library/RcppParallel/lib/ -ltbb -ltbbmalloc -L/usr/lib64/R/lib -lR installing to /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64/usr/local/lib/R/library/00LOCK-prophet/00new/prophet/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 'prophet' finding HTML links ... done add_changepoints_to_plot html add_country_holidays html add_group_component html add_regressor html add_seasonality html construct_holiday_dataframe html coverage html cross_validation html df_for_plotting html dyplot.prophet html fit.prophet html flat_growth_init html flat_trend html fourier_series html generate_cutoffs html generated_holidays html get_holiday_names html initialize_scales_fn html linear_growth_init html logistic_growth_init html mae html make_all_seasonality_features html make_future_dataframe html make_holiday_features html make_holidays_df html make_seasonality_features html mape html mdape html mse html parse_seasonality_args html performance_metrics html piecewise_linear html piecewise_logistic html plot.prophet html plot_cross_validation_metric html plot_forecast_component html plot_seasonality html plot_weekly html plot_yearly html predict.prophet html predict_seasonal_components html predict_trend html predict_uncertainty html predictive_samples html prophet html prophet_copy html prophet_plot_components html regressor_coefficients html regressor_column_matrix html rmse html rolling_mean_by_h html rolling_median_by_h html sample_model html sample_posterior_predictive html sample_predictive_trend html seasonality_plot_df html set_auto_seasonalities html set_changepoints html set_date html setup_dataframe html single_cutoff_forecast html smape html time_diff html validate_column_name html validate_inputs 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 (prophet) + test -d prophet/src + cd prophet/src + rm -f RcppExports.o stanExports_prophet.o prophet.so + rm -f /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64/usr/local/lib/R/library/R.css + find /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64@@g '{}' ';' + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 1.0-1.fc38.copr5831820 --unique-debug-suffix -1.0-1.fc38.copr5831820.x86_64 --unique-debug-src-base R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/prophet extracting debug info from /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64/usr/local/lib/R/library/prophet/libs/prophet.so original debug info size: 52796kB, size after compression: 52172kB /usr/bin/sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match. 91 blocks + /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-prophet-1.0-1.fc38.copr5831820.x86_64 Provides: R-CRAN-prophet = 1.0-1.fc38.copr5831820 R-CRAN-prophet(x86-64) = 1.0-1.fc38.copr5831820 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: ld-linux-x86-64.so.2()(64bit) ld-linux-x86-64.so.2(GLIBC_2.3)(64bit) libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.4)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(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_1.3.5)(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_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(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_3.4.9)(64bit) libtbb.so.2()(64bit) rtld(GNU_HASH) Processing files: R-CRAN-prophet-debugsource-1.0-1.fc38.copr5831820.x86_64 Provides: R-CRAN-prophet-debugsource = 1.0-1.fc38.copr5831820 R-CRAN-prophet-debugsource(x86-64) = 1.0-1.fc38.copr5831820 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: R-CRAN-prophet-debuginfo-1.0-1.fc38.copr5831820.x86_64 Provides: R-CRAN-prophet-debuginfo = 1.0-1.fc38.copr5831820 R-CRAN-prophet-debuginfo(x86-64) = 1.0-1.fc38.copr5831820 debuginfo(build-id) = 53d08d9e4281b4471829b4eafc93d589266b7b3f Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: R-CRAN-prophet-debugsource(x86-64) = 1.0-1.fc38.copr5831820 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64 Wrote: /builddir/build/RPMS/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-prophet-debugsource-1.0-1.fc38.copr5831820.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-prophet-debuginfo-1.0-1.fc38.copr5831820.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.uGjfjv + umask 022 + cd /builddir/build/BUILD + cd prophet + /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-prophet-1.0-1.fc38.copr5831820.x86_64 + RPM_EC=0 ++ jobs -p + exit 0 Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.HqdCr2 + umask 022 + cd /builddir/build/BUILD + rm -rf prophet prophet.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-prophet-1.0-1.fc38.copr5831820.src.rpm Finish: build phase for R-CRAN-prophet-1.0-1.fc38.copr5831820.src.rpm INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-38-x86_64-1682237413.615273/root/var/log/dnf.rpm.log /var/lib/mock/fedora-38-x86_64-1682237413.615273/root/var/log/dnf.librepo.log /var/lib/mock/fedora-38-x86_64-1682237413.615273/root/var/log/dnf.log INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-prophet-1.0-1.fc38.copr5831820.src.rpm) Config(child) 2 minutes 53 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