Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c18c' (ED25519) to the list of known hosts. cmd: ['copr-distgit-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-k9z89wb_/R-CRAN-galamm 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 galamm_0.2.1.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o galamm_0.2.1.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/iucar/cran/R-CRAN-galamm/galamm_0.2.1.tar.gz/md5/2a580262d9cb9937286f60ba21771cff/galamm_0.2.1.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 3561k 100 3561k 0 0 12.8M 0 --:--:-- --:--:-- --:--:-- 12.8M INFO: Reading stdout from command: md5sum galamm_0.2.1.tar.gz Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-k9z89wb_/R-CRAN-galamm/R-CRAN-galamm.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-k9z89wb_/R-CRAN-galamm --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1727858890.600071 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.6 starting (python version = 3.12.1, NVR = mock-5.6-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-k9z89wb_/R-CRAN-galamm/R-CRAN-galamm.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-k9z89wb_/R-CRAN-galamm --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1727858890.600071 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish: init plugins INFO: Signal handler active Start: run INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-k9z89wb_/R-CRAN-galamm/R-CRAN-galamm.spec) Config(fedora-40-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.6 INFO: Mock Version: 5.6 Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-1727858890.600071/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (fallback) INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.21.1-1.fc39.noarch python3-dnf-plugins-core-4.9.0-1.fc39.noarch yum-4.21.1-1.fc39.noarch dnf5-5.1.17-2.fc39.x86_64 dnf5-plugins-5.1.17-2.fc39.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: updates 100% | 33.1 MiB/s | 11.8 MiB | 00m00s fedora 100% | 12.9 MiB/s | 20.8 MiB | 00m02s Copr repository 100% | 41.8 MiB/s | 12.4 MiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash x86_64 5.2.26-3.fc40 fedora 8.1 MiB bzip2 x86_64 1.0.8-18.fc40 fedora 91.7 KiB coreutils x86_64 9.4-8.fc40 updates 5.8 MiB cpio x86_64 2.15-1.fc40 fedora 1.1 MiB diffutils x86_64 3.10-5.fc40 fedora 1.6 MiB fedora-release-common noarch 40-39 updates 19.1 KiB findutils x86_64 1:4.9.0-9.fc40 updates 1.5 MiB gawk x86_64 5.3.0-3.fc40 fedora 1.7 MiB glibc-minimal-langpack x86_64 2.39-22.fc40 updates 0.0 B grep x86_64 3.11-7.fc40 fedora 1.0 MiB gzip x86_64 1.13-1.fc40 fedora 385.0 KiB info x86_64 7.1-2.fc40 fedora 357.8 KiB patch x86_64 2.7.6-24.fc40 fedora 262.8 KiB redhat-rpm-config noarch 288-1.fc40 updates 185.2 KiB rpm-build x86_64 4.19.1.1-1.fc40 fedora 173.7 KiB sed x86_64 4.9-1.fc40 fedora 861.5 KiB shadow-utils x86_64 2:4.15.1-3.fc40 updates 4.1 MiB tar x86_64 2:1.35-3.fc40 fedora 2.9 MiB unzip x86_64 6.0-63.fc40 fedora 382.8 KiB util-linux x86_64 2.40.1-1.fc40 updates 3.7 MiB which x86_64 2.21-41.fc40 fedora 80.2 KiB xz x86_64 1:5.4.6-3.fc40 fedora 2.0 MiB Installing dependencies: alternatives x86_64 1.27-1.fc40 updates 66.3 KiB ansible-srpm-macros noarch 1-14.fc40 fedora 35.7 KiB audit-libs x86_64 4.0.2-1.fc40 updates 327.4 KiB authselect x86_64 1.5.0-5.fc40 fedora 153.6 KiB authselect-libs x86_64 1.5.0-5.fc40 fedora 818.3 KiB basesystem noarch 11-20.fc40 fedora 0.0 B binutils x86_64 2.41-37.fc40 updates 26.4 MiB binutils-gold x86_64 2.41-37.fc40 updates 2.0 MiB bzip2-libs x86_64 1.0.8-18.fc40 fedora 80.7 KiB ca-certificates noarch 2024.2.69_v8.0.401-1.0.fc40 updates 2.4 MiB coreutils-common x86_64 9.4-8.fc40 updates 11.4 MiB cracklib x86_64 2.9.11-5.fc40 fedora 238.9 KiB crypto-policies noarch 20240725-1.git28d3e2d.fc40 updates 153.3 KiB curl x86_64 8.6.0-10.fc40 updates 738.6 KiB cyrus-sasl-lib x86_64 2.1.28-19.fc40 fedora 2.3 MiB debugedit x86_64 5.0-14.fc40 fedora 199.0 KiB dwz x86_64 0.15-6.fc40 fedora 290.9 KiB ed x86_64 1.20.2-1.fc40 updates 146.9 KiB efi-srpm-macros noarch 5-11.fc40 fedora 40.1 KiB elfutils x86_64 0.191-4.fc40 fedora 2.5 MiB elfutils-debuginfod-client x86_64 0.191-4.fc40 fedora 64.9 KiB elfutils-default-yama-scope noarch 0.191-4.fc40 fedora 1.8 KiB elfutils-libelf x86_64 0.191-4.fc40 fedora 1.2 MiB elfutils-libs x86_64 0.191-4.fc40 fedora 646.1 KiB fedora-gpg-keys noarch 40-2 updates 124.7 KiB fedora-release noarch 40-39 updates 0.0 B fedora-release-identity-basic noarch 40-39 updates 654.0 B fedora-repos noarch 40-2 updates 4.9 KiB file x86_64 5.45-4.fc40 fedora 103.5 KiB file-libs x86_64 5.45-4.fc40 fedora 9.9 MiB filesystem x86_64 3.18-8.fc40 fedora 106.0 B fonts-srpm-macros noarch 1:2.0.5-14.fc40 fedora 55.3 KiB forge-srpm-macros noarch 0.3.2-1.fc40 updates 39.0 KiB fpc-srpm-macros noarch 1.3-12.fc40 fedora 144.0 B gdb-minimal x86_64 15.1-1.fc40 updates 13.0 MiB gdbm x86_64 1:1.23-6.fc40 fedora 460.9 KiB gdbm-libs x86_64 1:1.23-6.fc40 fedora 121.9 KiB ghc-srpm-macros noarch 1.9-1.fc40 fedora 716.0 B glibc x86_64 2.39-22.fc40 updates 6.6 MiB glibc-common x86_64 2.39-22.fc40 updates 1.0 MiB glibc-gconv-extra x86_64 2.39-22.fc40 updates 7.8 MiB gmp x86_64 1:6.2.1-8.fc40 fedora 794.6 KiB gnat-srpm-macros noarch 6-5.fc40 fedora 1.0 KiB go-srpm-macros noarch 3.5.0-1.fc40 fedora 60.6 KiB jansson x86_64 2.13.1-9.fc40 fedora 88.3 KiB kernel-srpm-macros noarch 1.0-23.fc40 fedora 1.9 KiB keyutils-libs x86_64 1.6.3-3.fc40 fedora 54.4 KiB krb5-libs x86_64 1.21.3-1.fc40 updates 2.3 MiB libacl x86_64 2.3.2-1.fc40 fedora 40.0 KiB libarchive x86_64 3.7.2-4.fc40 updates 914.6 KiB libattr x86_64 2.5.2-3.fc40 fedora 28.5 KiB libblkid x86_64 2.40.1-1.fc40 updates 258.5 KiB libbrotli x86_64 1.1.0-3.fc40 fedora 829.5 KiB libcap x86_64 2.69-8.fc40 updates 219.8 KiB libcap-ng x86_64 0.8.4-4.fc40 fedora 73.1 KiB libcom_err x86_64 1.47.0-5.fc40 fedora 67.2 KiB libcurl x86_64 8.6.0-10.fc40 updates 776.8 KiB libeconf x86_64 0.6.2-2.fc40 updates 58.0 KiB libevent x86_64 2.1.12-12.fc40 fedora 895.6 KiB libfdisk x86_64 2.40.1-1.fc40 updates 362.9 KiB libffi x86_64 3.4.4-7.fc40 fedora 81.6 KiB libgcc x86_64 14.2.1-3.fc40 updates 274.6 KiB libgomp x86_64 14.2.1-3.fc40 updates 523.6 KiB libidn2 x86_64 2.3.7-1.fc40 fedora 329.1 KiB libmount x86_64 2.40.1-1.fc40 updates 351.8 KiB libnghttp2 x86_64 1.59.0-3.fc40 updates 166.1 KiB libnsl2 x86_64 2.0.1-1.fc40 fedora 57.9 KiB libpkgconf x86_64 2.1.1-2.fc40 updates 74.2 KiB libpsl x86_64 0.21.5-3.fc40 fedora 80.5 KiB libpwquality x86_64 1.4.5-9.fc40 fedora 417.8 KiB libselinux x86_64 3.7-5.fc40 updates 177.0 KiB libsemanage x86_64 3.7-2.fc40 updates 293.5 KiB libsepol x86_64 3.7-2.fc40 updates 817.9 KiB libsmartcols x86_64 2.40.1-1.fc40 updates 180.4 KiB libssh x86_64 0.10.6-5.fc40 fedora 509.3 KiB libssh-config noarch 0.10.6-5.fc40 fedora 277.0 B libstdc++ x86_64 14.2.1-3.fc40 updates 2.8 MiB libtasn1 x86_64 4.19.0-6.fc40 fedora 175.7 KiB libtirpc x86_64 1.3.5-0.fc40 updates 202.7 KiB libtool-ltdl x86_64 2.4.7-10.fc40 fedora 66.2 KiB libunistring x86_64 1.1-7.fc40 fedora 1.7 MiB libutempter x86_64 1.2.1-13.fc40 fedora 57.7 KiB libuuid x86_64 2.40.1-1.fc40 updates 37.4 KiB libverto x86_64 0.3.2-8.fc40 fedora 29.5 KiB libxcrypt x86_64 4.4.36-5.fc40 fedora 262.8 KiB libxml2 x86_64 2.12.8-1.fc40 updates 1.7 MiB libzstd x86_64 1.5.6-1.fc40 updates 787.9 KiB lua-libs x86_64 5.4.6-5.fc40 fedora 281.1 KiB lua-srpm-macros noarch 1-13.fc40 fedora 1.3 KiB lz4-libs x86_64 1.9.4-6.fc40 fedora 129.4 KiB mpfr x86_64 4.2.1-4.fc40 updates 832.0 KiB ncurses-base noarch 6.4-12.20240127.fc40 fedora 326.2 KiB ncurses-libs x86_64 6.4-12.20240127.fc40 fedora 963.2 KiB ocaml-srpm-macros noarch 9-3.fc40 fedora 1.9 KiB openblas-srpm-macros noarch 2-16.fc40 fedora 104.0 B openldap x86_64 2.6.7-1.fc40 fedora 635.1 KiB openssl-libs x86_64 1:3.2.2-3.fc40 updates 7.8 MiB p11-kit x86_64 0.25.5-1.fc40 updates 2.2 MiB p11-kit-trust x86_64 0.25.5-1.fc40 updates 391.4 KiB package-notes-srpm-macros noarch 0.5-11.fc40 fedora 1.6 KiB pam x86_64 1.6.1-3.fc40 updates 1.8 MiB pam-libs x86_64 1.6.1-3.fc40 updates 135.0 KiB pcre2 x86_64 10.44-1.fc40 updates 653.5 KiB pcre2-syntax noarch 10.44-1.fc40 updates 251.6 KiB perl-srpm-macros noarch 1-53.fc40 fedora 861.0 B pkgconf x86_64 2.1.1-2.fc40 updates 82.9 KiB pkgconf-m4 noarch 2.1.1-2.fc40 updates 13.9 KiB pkgconf-pkg-config x86_64 2.1.1-2.fc40 updates 989.0 B popt x86_64 1.19-6.fc40 fedora 136.9 KiB publicsuffix-list-dafsa noarch 20240107-3.fc40 fedora 67.5 KiB pyproject-srpm-macros noarch 1.15.0-1.fc40 updates 1.9 KiB python-srpm-macros noarch 3.12-8.fc40 updates 50.6 KiB qt5-srpm-macros noarch 5.15.15-1.fc40 updates 500.0 B qt6-srpm-macros noarch 6.7.2-2.fc40 updates 456.0 B readline x86_64 8.2-8.fc40 fedora 489.2 KiB rpm x86_64 4.19.1.1-1.fc40 fedora 3.0 MiB rpm-build-libs x86_64 4.19.1.1-1.fc40 fedora 198.4 KiB rpm-libs x86_64 4.19.1.1-1.fc40 fedora 709.9 KiB rpm-sequoia x86_64 1.7.0-1.fc40 updates 2.4 MiB rust-srpm-macros noarch 26.3-1.fc40 updates 4.8 KiB setup noarch 2.14.5-2.fc40 fedora 720.4 KiB sqlite-libs x86_64 3.45.1-2.fc40 fedora 1.4 MiB systemd-libs x86_64 255.12-1.fc40 updates 1.9 MiB util-linux-core x86_64 2.40.1-1.fc40 updates 1.5 MiB xxhash-libs x86_64 0.8.2-2.fc40 fedora 88.5 KiB xz-libs x86_64 1:5.4.6-3.fc40 fedora 209.8 KiB zig-srpm-macros noarch 1-2.fc40 fedora 1.1 KiB zip x86_64 3.0-40.fc40 fedora 703.2 KiB zlib-ng-compat x86_64 2.1.7-2.fc40 updates 134.0 KiB zstd x86_64 1.5.6-1.fc40 updates 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 152 packages Total size of inbound packages is 53 MiB. Need to download 53 MiB. After this operation 179 MiB will be used (install 179 MiB, remove 0 B). [ 1/152] bzip2-0:1.0.8-18.fc40.x86_64 100% | 284.5 KiB/s | 52.4 KiB | 00m00s [ 2/152] cpio-0:2.15-1.fc40.x86_64 100% | 1.1 MiB/s | 292.2 KiB | 00m00s [ 3/152] diffutils-0:3.10-5.fc40.x86_6 100% | 3.0 MiB/s | 405.6 KiB | 00m00s [ 4/152] grep-0:3.11-7.fc40.x86_64 100% | 5.2 MiB/s | 300.2 KiB | 00m00s [ 5/152] bash-0:5.2.26-3.fc40.x86_64 100% | 5.3 MiB/s | 1.8 MiB | 00m00s [ 6/152] gzip-0:1.13-1.fc40.x86_64 100% | 4.1 MiB/s | 170.6 KiB | 00m00s [ 7/152] info-0:7.1-2.fc40.x86_64 100% | 4.1 MiB/s | 182.3 KiB | 00m00s [ 8/152] patch-0:2.7.6-24.fc40.x86_64 100% | 3.8 MiB/s | 130.7 KiB | 00m00s [ 9/152] rpm-build-0:4.19.1.1-1.fc40.x 100% | 2.1 MiB/s | 78.2 KiB | 00m00s [ 10/152] tar-2:1.35-3.fc40.x86_64 100% | 19.0 MiB/s | 856.6 KiB | 00m00s [ 11/152] sed-0:4.9-1.fc40.x86_64 100% | 6.0 MiB/s | 318.2 KiB | 00m00s [ 12/152] unzip-0:6.0-63.fc40.x86_64 100% | 4.3 MiB/s | 184.5 KiB | 00m00s [ 13/152] which-0:2.21-41.fc40.x86_64 100% | 1.2 MiB/s | 41.4 KiB | 00m00s [ 14/152] xz-1:5.4.6-3.fc40.x86_64 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dwz-0:0.15-6.fc40.x86_64 100% | 4.0 MiB/s | 137.8 KiB | 00m00s [ 41/152] efi-srpm-macros-0:5-11.fc40.n 100% | 696.8 KiB/s | 22.3 KiB | 00m00s [ 42/152] coreutils-common-0:9.4-8.fc40 100% | 14.0 MiB/s | 2.1 MiB | 00m00s [ 43/152] fonts-srpm-macros-1:2.0.5-14. 100% | 803.7 KiB/s | 26.5 KiB | 00m00s [ 44/152] fpc-srpm-macros-0:1.3-12.fc40 100% | 237.4 KiB/s | 7.8 KiB | 00m00s [ 45/152] glibc-common-0:2.39-22.fc40.x 100% | 2.2 MiB/s | 390.4 KiB | 00m00s [ 46/152] ghc-srpm-macros-0:1.9-1.fc40. 100% | 265.1 KiB/s | 8.7 KiB | 00m00s [ 47/152] gnat-srpm-macros-0:6-5.fc40.n 100% | 267.4 KiB/s | 8.8 KiB | 00m00s [ 48/152] go-srpm-macros-0:3.5.0-1.fc40 100% | 834.8 KiB/s | 27.5 KiB | 00m00s [ 49/152] kernel-srpm-macros-0:1.0-23.f 100% | 294.8 KiB/s | 9.7 KiB | 00m00s [ 50/152] lua-srpm-macros-0:1-13.fc40.n 100% | 264.6 KiB/s | 8.7 KiB | 00m00s [ 51/152] ocaml-srpm-macros-0:9-3.fc40. 100% | 283.5 KiB/s | 9.1 KiB | 00m00s [ 52/152] openblas-srpm-macros-0:2-16.f 100% | 227.3 KiB/s | 7.5 KiB | 00m00s 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00m00s [ 66/152] file-libs-0:5.45-4.fc40.x86_6 100% | 12.6 MiB/s | 762.7 KiB | 00m00s [ 67/152] elfutils-default-yama-scope-0 100% | 410.2 KiB/s | 13.5 KiB | 00m00s [ 68/152] sqlite-libs-0:3.45.1-2.fc40.x 100% | 9.8 MiB/s | 705.1 KiB | 00m00s [ 69/152] basesystem-0:11-20.fc40.noarc 100% | 175.3 KiB/s | 7.2 KiB | 00m00s [ 70/152] glibc-0:2.39-22.fc40.x86_64 100% | 881.4 KiB/s | 2.2 MiB | 00m03s [ 71/152] libselinux-0:3.7-5.fc40.x86_6 100% | 23.6 KiB/s | 88.0 KiB | 00m04s [ 72/152] glibc-gconv-extra-0:2.39-22.f 100% | 367.5 KiB/s | 1.7 MiB | 00m05s [ 73/152] libsepol-0:3.7-2.fc40.x86_64 100% | 150.7 KiB/s | 342.2 KiB | 00m02s [ 74/152] zlib-ng-compat-0:2.1.7-2.fc40 100% | 70.6 KiB/s | 77.7 KiB | 00m01s [ 75/152] libcap-0:2.69-8.fc40.x86_64 100% | 325.7 KiB/s | 85.7 KiB | 00m00s [ 76/152] libzstd-0:1.5.6-1.fc40.x86_64 100% | 966.2 KiB/s | 309.2 KiB | 00m00s [ 77/152] rpm-sequoia-0:1.7.0-1.fc40.x8 100% | 995.3 KiB/s | 892.8 KiB | 00m01s [ 78/152] libgcc-0:14.2.1-3.fc40.x86_64 100% | 143.2 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pam-libs-0:1.6.1-3.fc40.x86_6 100% | 368.3 KiB/s | 57.1 KiB | 00m00s [105/152] authselect-0:1.5.0-5.fc40.x86 100% | 673.6 KiB/s | 146.2 KiB | 00m00s [106/152] libpwquality-0:1.4.5-9.fc40.x 100% | 2.3 MiB/s | 119.7 KiB | 00m00s [107/152] libnsl2-0:2.0.1-1.fc40.x86_64 100% | 205.3 KiB/s | 29.6 KiB | 00m00s [108/152] gdbm-libs-1:1.23-6.fc40.x86_6 100% | 330.4 KiB/s | 56.2 KiB | 00m00s [109/152] authselect-libs-0:1.5.0-5.fc4 100% | 3.3 MiB/s | 218.6 KiB | 00m00s [110/152] libeconf-0:0.6.2-2.fc40.x86_6 100% | 680.0 KiB/s | 32.0 KiB | 00m00s [111/152] cracklib-0:2.9.11-5.fc40.x86_ 100% | 994.6 KiB/s | 92.5 KiB | 00m00s [112/152] libsemanage-0:3.7-2.fc40.x86_ 100% | 1.8 MiB/s | 116.1 KiB | 00m00s [113/152] pyproject-srpm-macros-0:1.15. 100% | 31.0 KiB/s | 13.6 KiB | 00m00s [114/152] python-srpm-macros-0:3.12-8.f 100% | 57.2 KiB/s | 23.4 KiB | 00m00s [115/152] openssl-libs-1:3.2.2-3.fc40.x 100% | 4.5 MiB/s | 2.3 MiB | 00m01s [116/152] qt5-srpm-macros-0:5.15.15-1.f 100% | 197.8 KiB/s | 8.9 KiB 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| 6.1 MiB/s | 254.3 KiB | 00m00s [143/152] libunistring-0:1.1-7.fc40.x86 100% | 10.2 MiB/s | 545.5 KiB | 00m00s [144/152] publicsuffix-list-dafsa-0:202 100% | 1.7 MiB/s | 58.1 KiB | 00m00s [145/152] libssh-config-0:0.10.6-5.fc40 100% | 273.6 KiB/s | 9.0 KiB | 00m00s [146/152] cyrus-sasl-lib-0:2.1.28-19.fc 100% | 13.3 MiB/s | 789.3 KiB | 00m00s [147/152] libevent-0:2.1.12-12.fc40.x86 100% | 6.4 MiB/s | 257.2 KiB | 00m00s [148/152] libtool-ltdl-0:2.4.7-10.fc40. 100% | 1.1 MiB/s | 36.2 KiB | 00m00s [149/152] libnghttp2-0:1.59.0-3.fc40.x8 100% | 111.4 KiB/s | 75.3 KiB | 00m01s [150/152] gdb-minimal-0:15.1-1.fc40.x86 100% | 3.0 MiB/s | 4.3 MiB | 00m01s [151/152] libcurl-0:8.6.0-10.fc40.x86_6 100% | 264.8 KiB/s | 344.8 KiB | 00m01s [152/152] fedora-release-identity-basic 100% | 98.2 KiB/s | 11.6 KiB | 00m00s -------------------------------------------------------------------------------- [152/152] Total 100% | 3.3 MiB/s | 52.8 MiB | 00m16s Running transaction Importing PGP key 0xA15B79CC: Userid : "Fedora (40) " Fingerprint: 115DF9AEF857853EE8445D0A0727707EA15B79CC From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-40-primary The key was successfully imported. [ 1/154] Verify package files 100% | 625.0 B/s | 152.0 B | 00m00s >>> Running pre-transaction scriptlet: filesystem-0:3.18-8.fc40.x86_64 >>> Stop pre-transaction scriptlet: filesystem-0:3.18-8.fc40.x86_64 [ 2/154] Prepare transaction 100% | 1.8 KiB/s | 152.0 B | 00m00s [ 3/154] Installing libgcc-0:14.2.1-3. 100% | 89.9 MiB/s | 276.3 KiB | 00m00s >>> Running post-install scriptlet: libgcc-0:14.2.1-3.fc40.x86_64 >>> Stop post-install scriptlet: libgcc-0:14.2.1-3.fc40.x86_64 [ 4/154] Installing crypto-policies-0: 100% | 16.5 MiB/s | 185.9 KiB | 00m00s >>> Running post-install scriptlet: crypto-policies-0:20240725-1.git28d3e2d.fc40 >>> Stop post-install scriptlet: crypto-policies-0:20240725-1.git28d3e2d.fc40.no [ 5/154] Installing fedora-release-ide 100% | 890.6 KiB/s | 912.0 B | 00m00s [ 6/154] Installing fedora-gpg-keys-0: 100% | 20.7 MiB/s | 169.7 KiB | 00m00s [ 7/154] Installing fedora-repos-0:40- 100% | 5.6 MiB/s | 5.7 KiB | 00m00s [ 8/154] Installing fedora-release-com 100% | 11.4 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Installing libmount-0:2.40.1- 100% | 172.3 MiB/s | 352.8 KiB | 00m00s [ 65/154] Installing libsmartcols-0:2.4 100% | 88.6 MiB/s | 181.5 KiB | 00m00s [ 66/154] Installing libcom_err-0:1.47. 100% | 66.7 MiB/s | 68.3 KiB | 00m00s [ 67/154] Installing libffi-0:3.4.4-7.f 100% | 81.0 MiB/s | 83.0 KiB | 00m00s [ 68/154] Installing libtasn1-0:4.19.0- 100% | 86.7 MiB/s | 177.5 KiB | 00m00s [ 69/154] Installing p11-kit-0:0.25.5-1 100% | 147.2 MiB/s | 2.2 MiB | 00m00s [ 70/154] Installing alternatives-0:1.2 100% | 66.4 MiB/s | 68.0 KiB | 00m00s [ 71/154] Installing libunistring-0:1.1 100% | 247.2 MiB/s | 1.7 MiB | 00m00s [ 72/154] Installing libidn2-0:2.3.7-1. 100% | 65.4 MiB/s | 335.0 KiB | 00m00s [ 73/154] Installing libpsl-0:0.21.5-3. 100% | 79.7 MiB/s | 81.6 KiB | 00m00s [ 74/154] Installing p11-kit-trust-0:0. 100% | 25.6 MiB/s | 393.1 KiB | 00m00s >>> Running post-install scriptlet: p11-kit-trust-0:0.25.5-1.fc40.x86_64 >>> Stop post-install scriptlet: p11-kit-trust-0:0.25.5-1.fc40.x86_64 [ 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| 1.8 KiB | 00m00s [ 97/154] Installing keyutils-libs-0:1. 100% | 54.5 MiB/s | 55.8 KiB | 00m00s [ 98/154] Installing libverto-0:0.3.2-8 100% | 30.5 MiB/s | 31.3 KiB | 00m00s [ 99/154] Installing xxhash-libs-0:0.8. 100% | 87.8 MiB/s | 89.9 KiB | 00m00s [100/154] Installing libbrotli-0:1.1.0- 100% | 162.5 MiB/s | 831.8 KiB | 00m00s [101/154] Installing libtool-ltdl-0:2.4 100% | 65.7 MiB/s | 67.3 KiB | 00m00s [102/154] Installing libnghttp2-0:1.59. 100% | 163.3 MiB/s | 167.2 KiB | 00m00s [103/154] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [104/154] Installing package-notes-srpm 100% | 2.0 MiB/s | 2.0 KiB | 00m00s [105/154] Installing openblas-srpm-macr 100% | 0.0 B/s | 384.0 B | 00m00s [106/154] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [107/154] Installing kernel-srpm-macros 100% | 2.3 MiB/s | 2.3 KiB | 00m00s [108/154] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [109/154] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 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curl-0:8.6.0-10.fc 100% | 31.5 MiB/s | 740.9 KiB | 00m00s >>> Running pre-install scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64 >>> Stop pre-install scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64 [141/154] Installing rpm-0:4.19.1.1-1.f 100% | 79.9 MiB/s | 2.4 MiB | 00m00s [142/154] Installing efi-srpm-macros-0: 100% | 20.1 MiB/s | 41.2 KiB | 00m00s [143/154] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [144/154] Installing zig-srpm-macros-0: 100% | 1.6 MiB/s | 1.7 KiB | 00m00s [145/154] Installing fonts-srpm-macros- 100% | 55.1 MiB/s | 56.5 KiB | 00m00s [146/154] Installing go-srpm-macros-0:3 100% | 60.2 MiB/s | 61.6 KiB | 00m00s [147/154] Installing forge-srpm-macros- 100% | 39.4 MiB/s | 40.4 KiB | 00m00s [148/154] Installing python-srpm-macros 100% | 50.6 MiB/s | 51.8 KiB | 00m00s [149/154] Installing redhat-rpm-config- 100% | 62.5 MiB/s | 191.9 KiB | 00m00s [150/154] Installing rpm-build-0:4.19.1 100% | 35.5 MiB/s | 182.0 KiB | 00m00s [151/154] Installing pyproject-srpm-mac 100% | 1.2 MiB/s | 2.5 KiB | 00m00s [152/154] Installing util-linux-0:2.40. 100% | 79.7 MiB/s | 3.7 MiB | 00m00s >>> Running post-install scriptlet: util-linux-0:2.40.1-1.fc40.x86_64 >>> Stop post-install scriptlet: util-linux-0:2.40.1-1.fc40.x86_64 [153/154] Installing which-0:2.21-41.fc 100% | 40.3 MiB/s | 82.4 KiB | 00m00s [154/154] Installing info-0:7.1-2.fc40. 100% | 271.5 KiB/s | 358.2 KiB | 00m01s >>> Running post-transaction scriptlet: filesystem-0:3.18-8.fc40.x86_64 >>> Stop post-transaction scriptlet: filesystem-0:3.18-8.fc40.x86_64 >>> Running post-transaction scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0 >>> Stop post-transaction scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc >>> Running post-transaction scriptlet: authselect-libs-0:1.5.0-5.fc40.x86_64 >>> Stop post-transaction scriptlet: authselect-libs-0:1.5.0-5.fc40.x86_64 >>> Running post-transaction scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64 >>> Stop post-transaction scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64 >>> Running trigger-install scriptlet: glibc-common-0:2.39-22.fc40.x86_64 >>> Stop trigger-install scriptlet: glibc-common-0:2.39-22.fc40.x86_64 >>> Running trigger-install scriptlet: info-0:7.1-2.fc40.x86_64 >>> Stop trigger-install scriptlet: info-0:7.1-2.fc40.x86_64 Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: alternatives-1.27-1.fc40.x86_64 ansible-srpm-macros-1-14.fc40.noarch audit-libs-4.0.2-1.fc40.x86_64 authselect-1.5.0-5.fc40.x86_64 authselect-libs-1.5.0-5.fc40.x86_64 basesystem-11-20.fc40.noarch bash-5.2.26-3.fc40.x86_64 binutils-2.41-37.fc40.x86_64 binutils-gold-2.41-37.fc40.x86_64 bzip2-1.0.8-18.fc40.x86_64 bzip2-libs-1.0.8-18.fc40.x86_64 ca-certificates-2024.2.69_v8.0.401-1.0.fc40.noarch coreutils-9.4-8.fc40.x86_64 coreutils-common-9.4-8.fc40.x86_64 cpio-2.15-1.fc40.x86_64 cracklib-2.9.11-5.fc40.x86_64 crypto-policies-20240725-1.git28d3e2d.fc40.noarch curl-8.6.0-10.fc40.x86_64 cyrus-sasl-lib-2.1.28-19.fc40.x86_64 debugedit-5.0-14.fc40.x86_64 diffutils-3.10-5.fc40.x86_64 dwz-0.15-6.fc40.x86_64 ed-1.20.2-1.fc40.x86_64 efi-srpm-macros-5-11.fc40.noarch elfutils-0.191-4.fc40.x86_64 elfutils-debuginfod-client-0.191-4.fc40.x86_64 elfutils-default-yama-scope-0.191-4.fc40.noarch elfutils-libelf-0.191-4.fc40.x86_64 elfutils-libs-0.191-4.fc40.x86_64 fedora-gpg-keys-40-2.noarch fedora-release-40-39.noarch fedora-release-common-40-39.noarch fedora-release-identity-basic-40-39.noarch fedora-repos-40-2.noarch file-5.45-4.fc40.x86_64 file-libs-5.45-4.fc40.x86_64 filesystem-3.18-8.fc40.x86_64 findutils-4.9.0-9.fc40.x86_64 fonts-srpm-macros-2.0.5-14.fc40.noarch forge-srpm-macros-0.3.2-1.fc40.noarch fpc-srpm-macros-1.3-12.fc40.noarch gawk-5.3.0-3.fc40.x86_64 gdb-minimal-15.1-1.fc40.x86_64 gdbm-1.23-6.fc40.x86_64 gdbm-libs-1.23-6.fc40.x86_64 ghc-srpm-macros-1.9-1.fc40.noarch glibc-2.39-22.fc40.x86_64 glibc-common-2.39-22.fc40.x86_64 glibc-gconv-extra-2.39-22.fc40.x86_64 glibc-minimal-langpack-2.39-22.fc40.x86_64 gmp-6.2.1-8.fc40.x86_64 gnat-srpm-macros-6-5.fc40.noarch go-srpm-macros-3.5.0-1.fc40.noarch gpg-pubkey-a15b79cc-63d04c2c grep-3.11-7.fc40.x86_64 gzip-1.13-1.fc40.x86_64 info-7.1-2.fc40.x86_64 jansson-2.13.1-9.fc40.x86_64 kernel-srpm-macros-1.0-23.fc40.noarch keyutils-libs-1.6.3-3.fc40.x86_64 krb5-libs-1.21.3-1.fc40.x86_64 libacl-2.3.2-1.fc40.x86_64 libarchive-3.7.2-4.fc40.x86_64 libattr-2.5.2-3.fc40.x86_64 libblkid-2.40.1-1.fc40.x86_64 libbrotli-1.1.0-3.fc40.x86_64 libcap-2.69-8.fc40.x86_64 libcap-ng-0.8.4-4.fc40.x86_64 libcom_err-1.47.0-5.fc40.x86_64 libcurl-8.6.0-10.fc40.x86_64 libeconf-0.6.2-2.fc40.x86_64 libevent-2.1.12-12.fc40.x86_64 libfdisk-2.40.1-1.fc40.x86_64 libffi-3.4.4-7.fc40.x86_64 libgcc-14.2.1-3.fc40.x86_64 libgomp-14.2.1-3.fc40.x86_64 libidn2-2.3.7-1.fc40.x86_64 libmount-2.40.1-1.fc40.x86_64 libnghttp2-1.59.0-3.fc40.x86_64 libnsl2-2.0.1-1.fc40.x86_64 libpkgconf-2.1.1-2.fc40.x86_64 libpsl-0.21.5-3.fc40.x86_64 libpwquality-1.4.5-9.fc40.x86_64 libselinux-3.7-5.fc40.x86_64 libsemanage-3.7-2.fc40.x86_64 libsepol-3.7-2.fc40.x86_64 libsmartcols-2.40.1-1.fc40.x86_64 libssh-0.10.6-5.fc40.x86_64 libssh-config-0.10.6-5.fc40.noarch libstdc++-14.2.1-3.fc40.x86_64 libtasn1-4.19.0-6.fc40.x86_64 libtirpc-1.3.5-0.fc40.x86_64 libtool-ltdl-2.4.7-10.fc40.x86_64 libunistring-1.1-7.fc40.x86_64 libutempter-1.2.1-13.fc40.x86_64 libuuid-2.40.1-1.fc40.x86_64 libverto-0.3.2-8.fc40.x86_64 libxcrypt-4.4.36-5.fc40.x86_64 libxml2-2.12.8-1.fc40.x86_64 libzstd-1.5.6-1.fc40.x86_64 lua-libs-5.4.6-5.fc40.x86_64 lua-srpm-macros-1-13.fc40.noarch lz4-libs-1.9.4-6.fc40.x86_64 mpfr-4.2.1-4.fc40.x86_64 ncurses-base-6.4-12.20240127.fc40.noarch ncurses-libs-6.4-12.20240127.fc40.x86_64 ocaml-srpm-macros-9-3.fc40.noarch openblas-srpm-macros-2-16.fc40.noarch openldap-2.6.7-1.fc40.x86_64 openssl-libs-3.2.2-3.fc40.x86_64 p11-kit-0.25.5-1.fc40.x86_64 p11-kit-trust-0.25.5-1.fc40.x86_64 package-notes-srpm-macros-0.5-11.fc40.noarch pam-1.6.1-3.fc40.x86_64 pam-libs-1.6.1-3.fc40.x86_64 patch-2.7.6-24.fc40.x86_64 pcre2-10.44-1.fc40.x86_64 pcre2-syntax-10.44-1.fc40.noarch perl-srpm-macros-1-53.fc40.noarch pkgconf-2.1.1-2.fc40.x86_64 pkgconf-m4-2.1.1-2.fc40.noarch pkgconf-pkg-config-2.1.1-2.fc40.x86_64 popt-1.19-6.fc40.x86_64 publicsuffix-list-dafsa-20240107-3.fc40.noarch pyproject-srpm-macros-1.15.0-1.fc40.noarch python-srpm-macros-3.12-8.fc40.noarch qt5-srpm-macros-5.15.15-1.fc40.noarch qt6-srpm-macros-6.7.2-2.fc40.noarch readline-8.2-8.fc40.x86_64 redhat-rpm-config-288-1.fc40.noarch rpm-4.19.1.1-1.fc40.x86_64 rpm-build-4.19.1.1-1.fc40.x86_64 rpm-build-libs-4.19.1.1-1.fc40.x86_64 rpm-libs-4.19.1.1-1.fc40.x86_64 rpm-sequoia-1.7.0-1.fc40.x86_64 rust-srpm-macros-26.3-1.fc40.noarch sed-4.9-1.fc40.x86_64 setup-2.14.5-2.fc40.noarch shadow-utils-4.15.1-3.fc40.x86_64 sqlite-libs-3.45.1-2.fc40.x86_64 systemd-libs-255.12-1.fc40.x86_64 tar-1.35-3.fc40.x86_64 unzip-6.0-63.fc40.x86_64 util-linux-2.40.1-1.fc40.x86_64 util-linux-core-2.40.1-1.fc40.x86_64 which-2.21-41.fc40.x86_64 xxhash-libs-0.8.2-2.fc40.x86_64 xz-5.4.6-3.fc40.x86_64 xz-libs-5.4.6-3.fc40.x86_64 zig-srpm-macros-1-2.fc40.noarch zip-3.0-40.fc40.x86_64 zlib-ng-compat-2.1.7-2.fc40.x86_64 zstd-1.5.6-1.fc40.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-galamm-0.2.1-1.fc40.copr8100629.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild -bs cp: preserving permissions for ‘/var/lib/copr-rpmbuild/results/chroot_scan/var/lib/mock/fedora-40-x86_64-1727858890.600071/root/var/log’: No such file or directory INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-40-x86_64-1727858890.600071/root/var/log/dnf5.log Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-k9z89wb_/R-CRAN-galamm/R-CRAN-galamm.spec) Config(child) 0 minutes 37 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.src.rpm) Config(fedora-40-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-1727858890.600071/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.21.1-1.fc39.noarch python3-dnf-plugins-core-4.9.0-1.fc39.noarch yum-4.21.1-1.fc39.noarch dnf5-5.1.17-2.fc39.x86_64 dnf5-plugins-5.1.17-2.fc39.x86_64 Finish: chroot init Start: build phase for R-CRAN-galamm-0.2.1-1.fc40.copr8100629.src.rpm Start: build setup for R-CRAN-galamm-0.2.1-1.fc40.copr8100629.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-galamm-0.2.1-1.fc40.copr8100629.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Updating and loading repositories: updates 100% | 981.1 KiB/s | 28.5 KiB | 00m00s fedora 100% | 1.0 MiB/s | 30.7 KiB | 00m00s Copr repository 100% | 28.5 KiB/s | 1.5 KiB | 00m00s Copr repository 100% | 13.7 MiB/s | 12.4 MiB | 00m01s Repositories loaded. Package Arch Version Repository Size Installing: R-CRAN-Matrix x86_64 1.7.0-1.fc40.copr7382390 copr_base 8.0 MiB R-CRAN-Rcpp x86_64 1.0.13-1.fc40.copr7745410 copr_base 8.4 MiB R-CRAN-RcppEigen x86_64 0.3.4.0.2-1.fc40.copr8100507 copr_base 9.0 MiB R-CRAN-Rdpack noarch 2.6.1-1.fc40.copr7876121 copr_base 1.1 MiB R-CRAN-lme4 x86_64 1.1.35.5-1.fc40.copr7705961 copr_base 5.8 MiB R-CRAN-memoise noarch 2.0.1-1.fc40.copr7356088 copr_base 83.7 KiB R-CRAN-mgcv x86_64 1.9.1-1.fc40.copr7357272 copr_base 4.5 MiB R-CRAN-nlme x86_64 3.1.166-1.fc40.copr7936970 copr_base 3.8 MiB R-core x86_64 4.4.1-5.fc40 updates 101.6 MiB R-devel x86_64 4.4.1-5.fc40 updates 0.0 B Installing dependencies: R-CRAN-MASS x86_64 7.3.61-1.fc40.copr7613806 copr_base 1.8 MiB R-CRAN-boot noarch 1.3.31-1.fc40.copr7951483 copr_base 1.1 MiB R-CRAN-cachem x86_64 1.1.0-1.fc40.copr7452047 copr_base 104.7 KiB R-CRAN-fastmap x86_64 1.2.0-1.fc40.copr7447859 copr_base 108.5 KiB R-CRAN-lattice x86_64 0.22.6-1.fc40.copr7352639 copr_base 2.0 MiB R-CRAN-minqa x86_64 1.2.8-1.fc40.copr7936838 copr_base 237.1 KiB R-CRAN-nloptr x86_64 2.1.1-1.fc40.copr7668603 copr_base 1.2 MiB R-CRAN-rbibutils x86_64 2.2.16-1.fc40.copr7352579 copr_base 2.3 MiB R-CRAN-rlang x86_64 1.1.4-1.fc40.copr7531082 copr_base 2.6 MiB R-core-devel x86_64 4.4.1-5.fc40 updates 394.8 KiB R-java x86_64 4.4.1-5.fc40 updates 0.0 B R-java-devel x86_64 4.4.1-5.fc40 updates 0.0 B R-littler x86_64 0.3.19-4.fc40 updates 157.9 KiB R-rpm-macros noarch 1.2.1-10.fc40 updates 5.6 KiB abattis-cantarell-vf-fonts noarch 0.301-12.fc40 fedora 192.7 KiB alsa-lib x86_64 1.2.12-1.fc40 updates 1.4 MiB annobin-docs noarch 12.60-1.fc40 updates 96.2 KiB annobin-plugin-gcc x86_64 12.60-1.fc40 updates 976.2 KiB avahi-libs x86_64 0.8-26.fc40 fedora 166.3 KiB brotli x86_64 1.1.0-3.fc40 fedora 31.8 KiB brotli-devel x86_64 1.1.0-3.fc40 fedora 65.6 KiB bzip2-devel x86_64 1.0.8-18.fc40 fedora 309.8 KiB cairo x86_64 1.18.0-3.fc40 fedora 1.7 MiB cairo-devel x86_64 1.18.0-3.fc40 fedora 2.3 MiB cmake-filesystem x86_64 3.28.2-1.fc40 fedora 0.0 B copy-jdk-configs noarch 4.1-5.fc40 fedora 20.3 KiB cpp x86_64 14.2.1-3.fc40 updates 35.0 MiB crypto-policies-scripts noarch 20240725-1.git28d3e2d.fc40 updates 328.0 KiB cups-libs x86_64 1:2.4.10-7.fc40 updates 622.9 KiB dbus-libs x86_64 1:1.14.10-3.fc40 fedora 368.9 KiB default-fonts-core-sans noarch 4.0-13.fc40 updates 11.9 KiB desktop-file-utils x86_64 0.26-12.fc40 fedora 226.0 KiB emacs-filesystem noarch 1:29.4-9.fc40 updates 0.0 B expat x86_64 2.6.3-1.fc40 updates 287.5 KiB flexiblas x86_64 3.4.4-1.fc40 updates 48.5 KiB flexiblas-devel x86_64 3.4.4-1.fc40 updates 4.7 MiB flexiblas-netlib x86_64 3.4.4-1.fc40 updates 10.6 MiB flexiblas-netlib64 x86_64 3.4.4-1.fc40 updates 10.7 MiB flexiblas-openblas-openmp x86_64 3.4.4-1.fc40 updates 39.3 KiB flexiblas-openblas-openmp64 x86_64 3.4.4-1.fc40 updates 39.3 KiB fontconfig x86_64 2.15.0-6.fc40 updates 768.0 KiB fontconfig-devel x86_64 2.15.0-6.fc40 updates 117.2 KiB fonts-filesystem noarch 1:2.0.5-14.fc40 fedora 0.0 B freetype x86_64 2.13.2-5.fc40 fedora 842.6 KiB freetype-devel x86_64 2.13.2-5.fc40 fedora 7.8 MiB fribidi x86_64 1.0.14-2.fc40 updates 367.6 KiB gc x86_64 8.2.2-6.fc40 fedora 258.7 KiB gcc x86_64 14.2.1-3.fc40 updates 104.3 MiB gcc-c++ x86_64 14.2.1-3.fc40 updates 38.2 MiB gcc-gfortran x86_64 14.2.1-3.fc40 updates 37.2 MiB gcc-plugin-annobin x86_64 14.2.1-3.fc40 updates 57.1 KiB gettext x86_64 0.22.5-4.fc40 updates 5.2 MiB gettext-envsubst x86_64 0.22.5-4.fc40 updates 74.9 KiB gettext-libs x86_64 0.22.5-4.fc40 updates 1.7 MiB gettext-runtime x86_64 0.22.5-4.fc40 updates 481.3 KiB glib2 x86_64 2.80.3-1.fc40 updates 14.6 MiB glib2-devel x86_64 2.80.3-1.fc40 updates 15.6 MiB glibc-devel x86_64 2.39-22.fc40 updates 35.8 KiB glibc-headers-x86 noarch 2.39-22.fc40 updates 2.2 MiB gnutls x86_64 3.8.6-1.fc40 updates 3.2 MiB google-noto-fonts-common noarch 20240301-2.fc40 fedora 17.5 KiB google-noto-sans-vf-fonts noarch 20240301-2.fc40 fedora 1.2 MiB graphite2 x86_64 1.3.14-15.fc40 fedora 192.0 KiB graphite2-devel x86_64 1.3.14-15.fc40 fedora 49.1 KiB guile30 x86_64 3.0.7-12.fc40 fedora 51.5 MiB harfbuzz x86_64 8.5.0-1.fc40 updates 2.7 MiB harfbuzz-devel x86_64 8.5.0-1.fc40 updates 5.1 MiB harfbuzz-icu x86_64 8.5.0-1.fc40 updates 15.5 KiB java-21-openjdk x86_64 1:21.0.4.0.7-2.fc40 updates 1.1 MiB java-21-openjdk-devel x86_64 1:21.0.4.0.7-2.fc40 updates 11.2 MiB java-21-openjdk-headless x86_64 1:21.0.4.0.7-2.fc40 updates 204.9 MiB javapackages-filesystem noarch 6.2.0-9.fc40 fedora 1.9 KiB jbigkit-libs x86_64 2.1-29.fc40 fedora 117.6 KiB kernel-headers x86_64 6.10.3-200.fc40 updates 6.3 MiB less x86_64 643-6.fc40 updates 372.6 KiB libICE x86_64 1.1.1-3.fc40 fedora 181.2 KiB libRmath x86_64 4.4.1-5.fc40 updates 246.8 KiB libRmath-devel x86_64 4.4.1-5.fc40 updates 17.4 KiB libSM x86_64 1.2.4-3.fc40 fedora 97.3 KiB libX11 x86_64 1.8.10-2.fc40 updates 1.3 MiB libX11-common noarch 1.8.10-2.fc40 updates 1.1 MiB libX11-devel x86_64 1.8.10-2.fc40 updates 1.0 MiB libX11-xcb x86_64 1.8.10-2.fc40 updates 15.0 KiB libXau x86_64 1.0.11-6.fc40 fedora 66.9 KiB libXau-devel x86_64 1.0.11-6.fc40 fedora 6.4 KiB libXcomposite x86_64 0.4.6-3.fc40 fedora 44.5 KiB libXext x86_64 1.3.6-1.fc40 fedora 90.1 KiB libXext-devel x86_64 1.3.6-1.fc40 fedora 98.9 KiB libXft x86_64 2.3.8-6.fc40 fedora 164.5 KiB libXft-devel x86_64 2.3.8-6.fc40 fedora 31.7 KiB libXi x86_64 1.8.2-1.fc40 updates 80.7 KiB libXmu x86_64 1.2.1-1.fc40 updates 187.5 KiB libXrender x86_64 0.9.11-6.fc40 fedora 50.1 KiB libXrender-devel x86_64 0.9.11-6.fc40 fedora 50.1 KiB libXt x86_64 1.3.0-3.fc40 fedora 425.9 KiB libXtst x86_64 1.2.5-1.fc40 updates 33.6 KiB libb2 x86_64 0.98.1-11.fc40 fedora 42.2 KiB libblkid-devel x86_64 2.40.1-1.fc40 updates 44.9 KiB libdatrie x86_64 0.2.13-9.fc40 fedora 57.9 KiB libdeflate x86_64 1.21-2.fc40 updates 117.0 KiB libdeflate-devel x86_64 1.21-2.fc40 updates 25.7 KiB libffi-devel x86_64 3.4.4-7.fc40 fedora 33.3 KiB libfontenc x86_64 1.1.7-3.fc40 fedora 65.0 KiB libgfortran x86_64 14.2.1-3.fc40 updates 3.0 MiB libicu x86_64 74.2-1.fc40 fedora 34.9 MiB libicu-devel x86_64 74.2-1.fc40 fedora 5.6 MiB libjpeg-turbo x86_64 3.0.2-1.fc40 fedora 776.9 KiB liblerc x86_64 4.0.0-6.fc40 fedora 603.5 KiB libmount-devel x86_64 2.40.1-1.fc40 updates 63.5 KiB libmpc x86_64 1.3.1-5.fc40 fedora 164.7 KiB libpng x86_64 2:1.6.40-3.fc40 fedora 241.8 KiB libpng-devel x86_64 2:1.6.40-3.fc40 fedora 881.5 KiB libquadmath x86_64 14.2.1-3.fc40 updates 325.9 KiB libquadmath-devel x86_64 14.2.1-3.fc40 updates 21.9 KiB libselinux-devel x86_64 3.7-5.fc40 updates 126.4 KiB libsepol-devel x86_64 3.7-2.fc40 updates 120.3 KiB libstdc++-devel x86_64 14.2.1-3.fc40 updates 15.4 MiB libtextstyle x86_64 0.22.5-4.fc40 updates 195.6 KiB libthai x86_64 0.1.29-8.fc40 fedora 783.5 KiB libtiff x86_64 4.6.0-2.fc40 fedora 1.1 MiB libtirpc-devel x86_64 1.3.5-0.fc40 updates 251.6 KiB libwebp x86_64 1.3.2-5.fc40 fedora 793.6 KiB libxcb x86_64 1.17.0-1.fc40 updates 1.1 MiB libxcb-devel x86_64 1.17.0-1.fc40 updates 2.7 MiB libxcrypt-devel x86_64 4.4.36-5.fc40 fedora 30.3 KiB libxml2-devel x86_64 2.12.8-1.fc40 updates 3.4 MiB lksctp-tools x86_64 1.0.19-6.fc40 fedora 269.6 KiB lua x86_64 5.4.6-5.fc40 fedora 597.8 KiB lua-posix x86_64 36.2.1-6.fc40 fedora 599.7 KiB make x86_64 1:4.4.1-6.fc40 fedora 1.8 MiB mkfontscale x86_64 1.2.2-6.fc40 fedora 49.2 KiB mpdecimal x86_64 2.5.1-9.fc40 fedora 200.9 KiB nettle x86_64 3.9.1-6.fc40 fedora 790.1 KiB nspr x86_64 4.35.0-29.fc40 updates 316.4 KiB nss x86_64 3.104.0-1.fc40 updates 1.9 MiB nss-softokn x86_64 3.104.0-1.fc40 updates 1.9 MiB nss-softokn-freebl x86_64 3.104.0-1.fc40 updates 803.7 KiB nss-sysinit x86_64 3.104.0-1.fc40 updates 18.2 KiB nss-util x86_64 3.104.0-1.fc40 updates 230.2 KiB openblas x86_64 0.3.26-4.fc40 fedora 96.0 KiB openblas-openmp x86_64 0.3.26-4.fc40 fedora 38.9 MiB openblas-openmp64 x86_64 0.3.26-4.fc40 fedora 39.1 MiB pango x86_64 1.54.0-1.fc40 updates 996.2 KiB pcre2-devel x86_64 10.44-1.fc40 updates 2.0 MiB pcre2-utf16 x86_64 10.44-1.fc40 updates 590.0 KiB pcre2-utf32 x86_64 10.44-1.fc40 updates 562.0 KiB pixman x86_64 0.43.4-1.fc40 updates 710.1 KiB pixman-devel x86_64 0.43.4-1.fc40 updates 49.4 KiB python-pip-wheel noarch 23.3.2-1.fc40 fedora 1.5 MiB python3 x86_64 3.12.6-1.fc40 updates 31.5 KiB python3-libs x86_64 3.12.6-1.fc40 updates 41.3 MiB python3-packaging noarch 23.2-4.fc40 fedora 421.1 KiB sysprof-capture-devel x86_64 46.0-1.fc40 fedora 252.8 KiB tcl x86_64 1:8.6.13-2.fc40 fedora 4.2 MiB tcl-devel x86_64 1:8.6.13-2.fc40 fedora 809.0 KiB tk x86_64 1:8.6.13-3.fc40 fedora 3.6 MiB tk-devel x86_64 1:8.6.13-3.fc40 fedora 983.9 KiB tre x86_64 0.8.0-43.20140228gitc2f5d13.fc40 fedora 75.9 KiB tre-common noarch 0.8.0-43.20140228gitc2f5d13.fc40 fedora 81.0 KiB tre-devel x86_64 0.8.0-43.20140228gitc2f5d13.fc40 fedora 10.7 KiB ttmkfdir x86_64 3.0.9-70.fc40 fedora 122.7 KiB tzdata noarch 2024a-5.fc40 updates 1.6 MiB tzdata-java noarch 2024a-5.fc40 updates 101.7 KiB xdg-utils noarch 1.2.1-1.fc40 fedora 346.3 KiB xml-common noarch 0.6.3-63.fc40 fedora 78.4 KiB xorg-x11-fonts-Type1 noarch 7.5-38.fc40 fedora 863.3 KiB xorg-x11-proto-devel noarch 2024.1-2.fc40 updates 1.7 MiB xz-devel x86_64 1:5.4.6-3.fc40 fedora 255.8 KiB zlib-ng-compat-devel x86_64 2.1.7-2.fc40 updates 106.8 KiB Transaction Summary: Installing: 179 packages Total size of inbound packages is 306 MiB. Need to download 306 MiB. After this operation 971 MiB will be used (install 971 MiB, remove 0 B). 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MiB/s | 305.9 MiB | 00m07s Running transaction [ 1/181] Verify package files 100% | 166.0 B/s | 179.0 B | 00m01s >>> Running pre-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch >>> Stop pre-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch >>> Running pre-transaction scriptlet: java-21-openjdk-headless-1:21.0.4.0.7-2.f >>> Stop pre-transaction scriptlet: java-21-openjdk-headless-1:21.0.4.0.7-2.fc40 [ 2/181] Prepare transaction 100% | 617.0 B/s | 179.0 B | 00m00s [ 3/181] Installing nspr-0:4.35.0-29.f 100% | 77.7 MiB/s | 318.2 KiB | 00m00s [ 4/181] Installing xorg-x11-proto-dev 100% | 137.1 MiB/s | 1.8 MiB | 00m00s [ 5/181] Installing libgfortran-0:14.2 100% | 304.4 MiB/s | 3.0 MiB | 00m00s [ 6/181] Installing nss-util-0:3.104.0 100% | 112.9 MiB/s | 231.2 KiB | 00m00s [ 7/181] Installing libquadmath-0:14.2 100% | 159.7 MiB/s | 327.2 KiB | 00m00s [ 8/181] Installing libmpc-0:1.3.1-5.f 100% | 81.2 MiB/s | 166.2 KiB | 00m00s [ 9/181] Installing libpng-2:1.6.40-3. 100% 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Finish: build setup for R-CRAN-galamm-0.2.1-1.fc40.copr8100629.src.rpm Start: rpmbuild R-CRAN-galamm-0.2.1-1.fc40.copr8100629.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.vhSDeU + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf galamm + /usr/bin/mkdir -p galamm + cd galamm + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/galamm_0.2.1.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + rm -rf /builddir/build/BUILD/galamm-SPECPARTS + /usr/bin/mkdir -p /builddir/build/BUILD/galamm-SPECPARTS + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';' + '[' -d galamm/src ']' + find galamm/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';' + '[' -d galamm/src ']' + find galamm/src/Makevars galamm/src/Makevars.win -type f -exec sed -i s@-g0@@g '{}' ';' + find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.8VjOzA + umask 022 + cd /builddir/build/BUILD + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -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 galamm + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.6Ebn6P + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64 ++ dirname /builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64 + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -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 galamm + mkdir -p /builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64/usr/local/lib/R/library + /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64/usr/local/lib/R/library galamm * installing *source* package ‘galamm’ ... ** package ‘galamm’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3)’ using C++17 g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/include/ -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c RcppExports.cpp -o RcppExports.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | 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:190:83: 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | 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:190:83: 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | 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:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /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 >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ 64 | T obj ; | ^~~ RcppExports.cpp:20:85: required from here 20 | Rcpp::traits::input_parameter< const Eigen::Map >::type y(ySEXP); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | 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:190:83: 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | 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:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ 64 | T obj ; | ^~~ RcppExports.cpp:20:85: required from here 20 | Rcpp::traits::input_parameter< const Eigen::Map >::type y(ySEXP); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ 64 | T obj ; | ^~~ RcppExports.cpp:20:85: required from here 20 | Rcpp::traits::input_parameter< const Eigen::Map >::type y(ySEXP); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ 64 | T obj ; | ^~~ RcppExports.cpp:22:85: required from here 22 | Rcpp::traits::input_parameter< const Eigen::Map >::type X(XSEXP); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ 64 | T obj ; | ^~~ RcppExports.cpp:22:85: required from here 22 | Rcpp::traits::input_parameter< const Eigen::Map >::type X(XSEXP); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ 32 | class MappedSparseMatrix | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter >’ 64 | T obj ; | ^~~ RcppExports.cpp:23:93: required from here 23 | Rcpp::traits::input_parameter< const Eigen::MappedSparseMatrix >::type Zt(ZtSEXP); | ^ /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; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/include/ -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c compute_galamm.cpp -o compute_galamm.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data.h:4, from compute_galamm.cpp:2: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | 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:190:83: 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | 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:190:83: 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | 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:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /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; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/autodiff/forward/utils/gradient.hpp:35, from ../inst/include/autodiff/forward/dual/eigen.hpp:37, from data.h:6: ../inst/include/autodiff/common/classtraits.hpp:56:39: warning: unnecessary parentheses in declaration of ‘f’ [-Wparentheses] 56 | template static char ((&f(decltype(&C::value))))[1]; | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/autodiff/common/classtraits.hpp:56:39: note: remove parentheses 56 | template static char ((&f(decltype(&C::value))))[1]; | ^~~~~~~~~~~~~~~~~~~~~~~~~ | - - ../inst/include/autodiff/common/classtraits.hpp:57:39: warning: unnecessary parentheses in declaration of ‘f’ [-Wparentheses] 57 | template static char ((&f(...)))[2]; | ^~~~~~~~~ ../inst/include/autodiff/common/classtraits.hpp:57:39: note: remove parentheses 57 | template static char ((&f(...)))[2]; | ^~~~~~~~~ | - - /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 >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ data.h:16:5: required from here 16 | ) : | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | 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:190:83: 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | 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:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ data.h:16:5: required from here 16 | ) : | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ data.h:16:5: required from here 16 | ) : | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /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>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ compute_galamm.cpp:443:1: required from here 443 | ){ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /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>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ compute_galamm.cpp:443:1: required from here 443 | ){ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ 32 | class MappedSparseMatrix | ^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:443:1: required from here 443 | ){ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 282 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ compute_galamm.cpp:446:28: required from here 446 | return wrapper( | ~~~~~~~~~~~~~~~~^ 447 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | maxit_conditional_modes, lossvalue_tol, reduced_hessian); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ compute_galamm.cpp: In instantiation of ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual, autodiff::detail::Dual >]’: compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:446:28: required from here 446 | return wrapper( | ~~~~~~~~~~~~~~~~^ 447 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | maxit_conditional_modes, lossvalue_tol, reduced_hessian); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:97:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, autodiff::detail::Dual > >, std::default_delete, autodiff::detail::Dual > > > >, std::allocator, autodiff::detail::Dual > >, std::default_delete, autodiff::detail::Dual > > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 97 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ compute_galamm.cpp:116:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, autodiff::detail::Dual > >, std::default_delete, autodiff::detail::Dual > > > >, std::allocator, autodiff::detail::Dual > >, std::default_delete, autodiff::detail::Dual > > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ /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 > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, autodiff::detail::Dual >, double>, const Eigen::ArrayWrapper, autodiff::detail::Dual >, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, autodiff::detail::Dual >, double>, const Eigen::ArrayWrapper, autodiff::detail::Dual >, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, autodiff::detail::Dual >, double>, const Eigen::ArrayWrapper, autodiff::detail::Dual >, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ compute_galamm.cpp:122:70: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual, autodiff::detail::Dual >]’ 122 | Vdual weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:446:28: required from here 446 | return wrapper( | ~~~~~~~~~~~~~~~~^ 447 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | maxit_conditional_modes, lossvalue_tol, reduced_hessian); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ compute_galamm.cpp:122:74: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual, autodiff::detail::Dual >]’ 122 | Vdual weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:446:28: required from here 446 | return wrapper( | ~~~~~~~~~~~~~~~~^ 447 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | maxit_conditional_modes, lossvalue_tol, reduced_hessian); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, autodiff::detail::Dual > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, autodiff::detail::Dual > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, autodiff::detail::Dual > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ compute_galamm.cpp:127:25: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual, autodiff::detail::Dual >]’ 127 | parlist.u += step * delta_u; | ~~~~~^~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:446:28: required from here 446 | return wrapper( | ~~~~~~~~~~~~~~~~^ 447 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | maxit_conditional_modes, lossvalue_tol, reduced_hessian); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ compute_galamm.cpp: In instantiation of ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual, autodiff::detail::Dual >]’: compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:446:28: required from here 446 | return wrapper( | ~~~~~~~~~~~~~~~~^ 447 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | maxit_conditional_modes, lossvalue_tol, reduced_hessian); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:130:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, autodiff::detail::Dual > >, std::default_delete, autodiff::detail::Dual > > > >, std::allocator, autodiff::detail::Dual > >, std::default_delete, autodiff::detail::Dual > > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, autodiff::detail::Dual >, double>, const Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, autodiff::detail::Dual >, double>, const Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, autodiff::detail::Dual >, double>, const Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, autodiff::detail::Dual >, double>, const Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, autodiff::detail::Dual >, double>, const Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, autodiff::detail::Dual >, -1, 1, 0, -1, 1>, const Eigen::CwiseUnaryOp, autodiff::detail::Dual >, double>, const Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1> > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, autodiff::detail::Dual >, -1, 1, 0, -1, 1> >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, autodiff::detail::Dual >, -1, 1, 0, -1, 1> >::CastXpr::Type Eigen::DenseBase, autodiff::detail::Dual >, -1, 1, 0, -1, 1> >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ misc.h:191:54: required from ‘Rcpp::List create_result(Functor1, Functor2, parameters, autodiff::detail::Dual > >&, bool) [with Functor1 = wrapper, autodiff::detail::Dual > >(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool)::, autodiff::detail::Dual > >&)>; Functor2 = wrapper, autodiff::detail::Dual > >(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool)::, autodiff::detail::Dual > >&)>; Rcpp::List = Rcpp::Vector<19>]’ 191 | Rcpp::Named("u") = extras.u.template cast(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:312:23: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 312 | return create_result(fx, gx, parlist, reduced_hessian); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:446:28: required from here 446 | return wrapper( | ~~~~~~~~~~~~~~~~^ 447 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | maxit_conditional_modes, lossvalue_tol, reduced_hessian); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ compute_galamm.cpp: In instantiation of ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual]’: compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:452:28: required from here 452 | return wrapper( | ~~~~~~~~~~~~~~~~^ 453 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 456 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:97:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >, std::default_delete > > >, std::allocator >, std::default_delete > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 97 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ compute_galamm.cpp:116:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >, std::default_delete > > >, std::allocator >, std::default_delete > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ compute_galamm.cpp:130:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >, std::default_delete > > >, std::allocator >, std::default_delete > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ /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 > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase >::CastXpr::Type Eigen::DenseBase >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ data.h:17:16: required from ‘data::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix) [with T = double; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix]’ 17 | y { y.cast() }, trials { trials.cast() }, X { X.cast() }, | ~~~~~~~~~^~ compute_galamm.cpp:278:11: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 278 | data datlist{y, trials, X, Zt}; | ^~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase >::CastXpr::Type Eigen::DenseBase >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ data.h:17:64: required from ‘data::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix) [with T = double; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix]’ 17 | y { y.cast() }, trials { trials.cast() }, X { X.cast() }, | ~~~~~~~~~^~ compute_galamm.cpp:278:11: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 278 | data datlist{y, trials, X, Zt}; | ^~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::SparseMatrix > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::SparseMatrixBase >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::SparseMatrixBase >::CastXpr::Type Eigen::SparseMatrixBase >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ data.h:18:18: required from ‘data::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix) [with T = double; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix]’ 18 | Zt { Zt.cast() } | ~~~~~~~~~~^~ compute_galamm.cpp:278:11: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 278 | data datlist{y, trials, X, Zt}; | ^~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ parameters.h:57:42: required from ‘parameters::parameters(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXi&, const int&, const double&, const int&) [with T = double; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 57 | WSqrt.diagonal() = Vdual::Constant(n, 1); | ~~~~~~~~~~~~~~~~~~^~~~~~ compute_galamm.cpp:280:17: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 280 | parameters parlist{ | ^~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ compute_galamm.cpp: In instantiation of ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’: compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:97:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::default_delete > >, std::allocator, std::default_delete > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 97 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ /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:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ compute_galamm.cpp:98:77: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 98 | Vdual upd = modvec[k]->get_V(lp, datlist.trials, parlist.WSqrt).array() * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /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, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ compute_galamm.cpp:99:69: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 99 | (parlist.family_mapping.array() == k).array().template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ compute_galamm.cpp:98:80: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 98 | Vdual upd = modvec[k]->get_V(lp, datlist.trials, parlist.WSqrt).array() * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 99 | (parlist.family_mapping.array() == k).array().template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ compute_galamm.cpp: In instantiation of ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’: compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:116:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::default_delete > >, std::allocator, std::default_delete > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ /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 > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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 > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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 > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ compute_galamm.cpp:122:70: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 122 | Vdual weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 > >’ 41 | template class DenseBase | ^~~~~~~~~ /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 > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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 >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ compute_galamm.cpp:122:87: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 122 | Vdual weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array(); | ~~~~~~~~~~~^~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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 > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ compute_galamm.cpp:122:103: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 122 | Vdual weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ compute_galamm.cpp:122:74: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 122 | Vdual weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ compute_galamm.cpp:123:45: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ compute_galamm.cpp:123:58: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::SparseMatrix, 2>, 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::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ compute_galamm.cpp:123:79: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, 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, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ compute_galamm.cpp:123:27: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 > >’ 41 | template class DenseBase | ^~~~~~~~~ /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 > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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 >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ compute_galamm.cpp:127:25: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 127 | parlist.u += step * delta_u; | ~~~~~^~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ compute_galamm.cpp: In instantiation of ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’: compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:130:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::default_delete > >, std::allocator, std::default_delete > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47: required from ‘struct Eigen::internal::unary_evaluator, autodiff::detail::Dual > >, const Eigen::SparseMatrix >, Eigen::internal::IteratorBased, autodiff::detail::Dual, autodiff::detail::Dual > >’ 27 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, autodiff::detail::Dual > >, const Eigen::SparseMatrix > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseUnaryOp, autodiff::detail::Dual > >, const Eigen::SparseMatrix >; _Scalar = autodiff::detail::Dual, autodiff::detail::Dual >; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ data.h:18:3: required from ‘data::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix]’ 18 | Zt { Zt.cast() } | ^~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:278:11: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 278 | data datlist{y, trials, X, Zt}; | ^~~~~~~ compute_galamm.cpp:446:28: required from here 446 | return wrapper( | ~~~~~~~~~~~~~~~~^ 447 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | maxit_conditional_modes, lossvalue_tol, reduced_hessian); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from compute_galamm.cpp:6: update_funs.h: In instantiation of ‘void update_Zt(SpMdual&, Vdual&, const std::vector >&, const std::vector >&) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; SpMdual = Eigen::SparseMatrix, autodiff::detail::Dual >, 0, int>; Vdual = Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1>]’: compute_galamm.cpp:88:12: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual, autodiff::detail::Dual >]’ 88 | update_Zt(datlist.Zt, parlist.lambda, parlist.lambda_mapping_Zt, parlist.lambda_mapping_Zt_covs); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:446:28: required from here 446 | return wrapper( | ~~~~~~~~~~~~~~~~^ 447 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | maxit_conditional_modes, lossvalue_tol, reduced_hessian); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ update_funs.h:117:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 117 | for(size_t k{}; k < Zt.outerSize(); ++k){ | ~~^~~~~~~~~~~~~~~~ update_funs.h: In instantiation of ‘void update_X(Mdual&, Vdual&, const Eigen::VectorXi&) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Mdual = Eigen::Matrix, autodiff::detail::Dual >, -1, -1, 0, -1, -1>; Vdual = Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1>; Eigen::VectorXi = Eigen::Matrix]’: compute_galamm.cpp:89:11: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual, autodiff::detail::Dual >]’ 89 | update_X(datlist.X, parlist.lambda, parlist.lambda_mapping_X); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:446:28: required from here 446 | return wrapper( | ~~~~~~~~~~~~~~~~^ 447 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | maxit_conditional_modes, lossvalue_tol, reduced_hessian); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ update_funs.h:64:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 64 | for(size_t i{}; i < lambda_mapping_X.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp: In instantiation of ‘T loss(const parameters&, const data&, Vdual&, std::vector > >&, ldlt&, Vdual&) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Vdual = Eigen::Matrix, autodiff::detail::Dual >, -1, 1, 0, -1, 1>; ldlt = Eigen::SimplicialLDLT, autodiff::detail::Dual >, 0, int>, 1, Eigen::AMDOrdering >]’: compute_galamm.cpp:110:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual, autodiff::detail::Dual >]’ 110 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual, autodiff::detail::Dual >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:446:28: required from here 446 | return wrapper( | ~~~~~~~~~~~~~~~~^ 447 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | maxit_conditional_modes, lossvalue_tol, reduced_hessian); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:36:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, autodiff::detail::Dual > >, std::default_delete, autodiff::detail::Dual > > > >, std::allocator, autodiff::detail::Dual > >, std::default_delete, autodiff::detail::Dual > > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 36 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ update_funs.h: In instantiation of ‘void update_Zt(SpMdual&, Vdual&, const std::vector >&, const std::vector >&) [with T = autodiff::detail::Dual; SpMdual = Eigen::SparseMatrix, 0, int>; Vdual = Eigen::Matrix, -1, 1, 0, -1, 1>]’: compute_galamm.cpp:88:12: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual]’ 88 | update_Zt(datlist.Zt, parlist.lambda, parlist.lambda_mapping_Zt, parlist.lambda_mapping_Zt_covs); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:452:28: required from here 452 | return wrapper( | ~~~~~~~~~~~~~~~~^ 453 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 456 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ update_funs.h:117:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 117 | for(size_t k{}; k < Zt.outerSize(); ++k){ | ~~^~~~~~~~~~~~~~~~ update_funs.h: In instantiation of ‘void update_X(Mdual&, Vdual&, const Eigen::VectorXi&) [with T = autodiff::detail::Dual; Mdual = Eigen::Matrix, -1, -1, 0, -1, -1>; Vdual = Eigen::Matrix, -1, 1, 0, -1, 1>; Eigen::VectorXi = Eigen::Matrix]’: compute_galamm.cpp:89:11: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual]’ 89 | update_X(datlist.X, parlist.lambda, parlist.lambda_mapping_X); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:452:28: required from here 452 | return wrapper( | ~~~~~~~~~~~~~~~~^ 453 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 456 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ update_funs.h:64:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 64 | for(size_t i{}; i < lambda_mapping_X.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp: In instantiation of ‘T loss(const parameters&, const data&, Vdual&, std::vector > >&, ldlt&, Vdual&) [with T = autodiff::detail::Dual; Vdual = Eigen::Matrix, -1, 1, 0, -1, 1>; ldlt = Eigen::SimplicialLDLT, 0, int>, 1, Eigen::AMDOrdering >]’: compute_galamm.cpp:110:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = autodiff::detail::Dual]’ 110 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:452:28: required from here 452 | return wrapper( | ~~~~~~~~~~~~~~~~^ 453 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 456 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:36:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >, std::default_delete > > >, std::allocator >, std::default_delete > > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 36 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ update_funs.h: In instantiation of ‘void update_Zt(SpMdual&, Vdual&, const std::vector >&, const std::vector >&) [with T = double; SpMdual = Eigen::SparseMatrix; Vdual = Eigen::Matrix]’: compute_galamm.cpp:88:12: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 88 | update_Zt(datlist.Zt, parlist.lambda, parlist.lambda_mapping_Zt, parlist.lambda_mapping_Zt_covs); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ update_funs.h:117:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 117 | for(size_t k{}; k < Zt.outerSize(); ++k){ | ~~^~~~~~~~~~~~~~~~ update_funs.h: In instantiation of ‘void update_X(Mdual&, Vdual&, const Eigen::VectorXi&) [with T = double; Mdual = Eigen::Matrix; Vdual = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: compute_galamm.cpp:89:11: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 89 | update_X(datlist.X, parlist.lambda, parlist.lambda_mapping_X); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ update_funs.h:64:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 64 | for(size_t i{}; i < lambda_mapping_X.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /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> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ misc.h:28:20: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~^~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ misc.h:28:57: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ misc.h:28:60: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~^ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ misc.h:29:33: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ misc.h:60:39: required from ‘SpMdual inner_hessian(const parameters&, const data&, const Eigen::DiagonalMatrix&) [with T = double; SpMdual = Eigen::SparseMatrix]’ 60 | return parlist.Lambdat * datlist.Zt * V * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ compute_galamm.cpp:106:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 106 | SpMdual H = inner_hessian(parlist, datlist, V); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ misc.h:60:43: required from ‘SpMdual inner_hessian(const parameters&, const data&, const Eigen::DiagonalMatrix&) [with T = double; SpMdual = Eigen::SparseMatrix]’ 60 | return parlist.Lambdat * datlist.Zt * V * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 61 | datlist.Zt.transpose() * parlist.Lambdat.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:106:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 106 | SpMdual H = inner_hessian(parlist, datlist, V); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ misc.h:61:28: required from ‘SpMdual inner_hessian(const parameters&, const data&, const Eigen::DiagonalMatrix&) [with T = double; SpMdual = Eigen::SparseMatrix]’ 60 | return parlist.Lambdat * datlist.Zt * V * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 61 | datlist.Zt.transpose() * parlist.Lambdat.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:106:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 106 | SpMdual H = inner_hessian(parlist, datlist, V); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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; | ^~~~~~~~~~~~~~~~ compute_galamm.cpp: In instantiation of ‘T loss(const parameters&, const data&, Vdual&, std::vector > >&, ldlt&, Vdual&) [with T = double; Vdual = Eigen::Matrix; ldlt = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >]’: compute_galamm.cpp:110:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 110 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:36:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::default_delete > >, std::allocator, std::default_delete > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 36 | for(int k{}; k < modvec.size(); k++){ | ~~^~~~~~~~~~~~~~~ /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> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ compute_galamm.cpp:54:21: required from ‘T loss(const parameters&, const data&, Vdual&, std::vector > >&, ldlt&, Vdual&) [with T = double; Vdual = Eigen::Matrix; ldlt = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >]’ 54 | ret += ((WSqrt0 * y0).dot(WSqrt0 * lp0) - | ~~~~~~~~^~~~~ compute_galamm.cpp:110:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 110 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ compute_galamm.cpp:60:27: required from ‘T loss(const parameters&, const data&, Vdual&, std::vector > >&, ldlt&, Vdual&) [with T = double; Vdual = Eigen::Matrix; ldlt = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >]’ 60 | solver.vectorD().array().log().sum() / 2; | ~~~~~~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:110:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 110 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ compute_galamm.cpp:60:33: required from ‘T loss(const parameters&, const data&, Vdual&, std::vector > >&, ldlt&, Vdual&) [with T = double; Vdual = Eigen::Matrix; ldlt = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >]’ 60 | solver.vectorD().array().log().sum() / 2; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:110:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 110 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:312:36: required from ‘struct Eigen::internal::evaluator > >’ 312 | typedef typename Derived::Scalar Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’ 96 | struct product_evaluator, ProductTag, LhsShape, RhsShape> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ misc.h:61:28: required from ‘SpMdual inner_hessian(const parameters&, const data&, const Eigen::DiagonalMatrix&) [with T = double; SpMdual = Eigen::SparseMatrix]’ 60 | return parlist.Lambdat * datlist.Zt * V * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 61 | datlist.Zt.transpose() * parlist.Lambdat.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:106:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 106 | SpMdual H = inner_hessian(parlist, datlist, V); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’ 96 | struct product_evaluator, ProductTag, LhsShape, RhsShape> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ misc.h:61:28: required from ‘SpMdual inner_hessian(const parameters&, const data&, const Eigen::DiagonalMatrix&) [with T = double; SpMdual = Eigen::SparseMatrix]’ 60 | return parlist.Lambdat * datlist.Zt * V * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 61 | datlist.Zt.transpose() * parlist.Lambdat.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:106:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 106 | SpMdual H = inner_hessian(parlist, datlist, V); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /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]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:59:37: required from ‘T loss(const parameters&, const data&, Vdual&, std::vector > >&, ldlt&, Vdual&) [with T = double; Vdual = Eigen::Matrix; ldlt = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >]’ 59 | return ret - parlist.u.squaredNorm() / 2 / phi(0) - | ~~~~~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:110:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 110 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /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::Product, Eigen::Matrix, 1>; U = Eigen::Product, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /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::Product, Eigen::Matrix, 1>; Derived = Eigen::Product, Eigen::Matrix, 1>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ compute_galamm.cpp:54:30: required from ‘T loss(const parameters&, const data&, Vdual&, std::vector > >&, ldlt&, Vdual&) [with T = double; Vdual = Eigen::Matrix; ldlt = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >]’ 54 | ret += ((WSqrt0 * y0).dot(WSqrt0 * lp0) - | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ compute_galamm.cpp:110:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 110 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:312:36: required from ‘struct Eigen::internal::evaluator > >’ 312 | typedef typename Derived::Scalar Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’ 96 | struct product_evaluator, ProductTag, LhsShape, RhsShape> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>; Rhs = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ misc.h:61:28: required from ‘SpMdual inner_hessian(const parameters&, const data&, const Eigen::DiagonalMatrix&) [with T = double; SpMdual = Eigen::SparseMatrix]’ 60 | return parlist.Lambdat * datlist.Zt * V * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 61 | datlist.Zt.transpose() * parlist.Lambdat.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:106:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 106 | SpMdual H = inner_hessian(parlist, datlist, V); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’ 96 | struct product_evaluator, ProductTag, LhsShape, RhsShape> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h:121:8: required from ‘struct Eigen::internal::plain_object_eval, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Sparse>’ 121 | struct plain_object_eval | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:71:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>; Rhs = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ misc.h:61:28: required from ‘SpMdual inner_hessian(const parameters&, const data&, const Eigen::DiagonalMatrix&) [with T = double; SpMdual = Eigen::SparseMatrix]’ 60 | return parlist.Lambdat * datlist.Zt * V * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 61 | datlist.Zt.transpose() * parlist.Lambdat.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:106:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 106 | SpMdual H = inner_hessian(parlist, datlist, V); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]’ 36 | symmat = C + A; | ~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’ 63 | internal::ordering_helper_at_plus_a(mat,symm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ 671 | ordering(C,m_Pinv); | ~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:244:7: required from ‘void Eigen::SimplicialCholeskyBase::analyzePattern(const MatrixType&, bool) [with Derived = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix]’ 244 | ordering(a, pmat, tmp); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:483:27: required from ‘void Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::analyzePattern(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 483 | Base::analyzePattern(a, true); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ compute_galamm.cpp:107:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 107 | solver.analyzePattern(H); | ~~~~~~~~~~~~~~~~~~~~~^~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:60:39: required from ‘T loss(const parameters&, const data&, Vdual&, std::vector > >&, ldlt&, Vdual&) [with T = double; Vdual = Eigen::Matrix; ldlt = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >]’ 60 | solver.vectorD().array().log().sum() / 2; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:110:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 110 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /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 >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:200:20: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; ResultType = Eigen::SparseMatrix]’ 200 | RowMajorMatrix resRow(lhs.rows(), rhs.cols()); | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>; Rhs = Eigen::Transpose >; int ProductType = 8]’ 75 | internal::conservative_sparse_sparse_product_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 76 | typename remove_all::type, Dest>::run(lhsNested,rhsNested,dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>; Rhs = Eigen::Transpose >; int ProductType = 8]’ 43 | evalTo(dst, lhs, rhs, typename evaluator_traits::Shape()); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>; Rhs = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ misc.h:61:28: required from ‘SpMdual inner_hessian(const parameters&, const data&, const Eigen::DiagonalMatrix&) [with T = double; SpMdual = Eigen::SparseMatrix]’ 60 | return parlist.Lambdat * datlist.Zt * V * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 61 | datlist.Zt.transpose() * parlist.Lambdat.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:106:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 106 | SpMdual H = inner_hessian(parlist, datlist, V); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘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:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:59:37: required from ‘T loss(const parameters&, const data&, Vdual&, std::vector > >&, ldlt&, Vdual&) [with T = double; Vdual = Eigen::Matrix; ldlt = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >]’ 59 | return ret - parlist.u.squaredNorm() / 2 / phi(0) - | ~~~~~~~~~~~~~~~~~~~~~^~ compute_galamm.cpp:110:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 110 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:202:9: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; ResultType = Eigen::SparseMatrix]’ 202 | res = resRow; | ~~~~^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>; Rhs = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ misc.h:61:28: required from ‘SpMdual inner_hessian(const parameters&, const data&, const Eigen::DiagonalMatrix&) [with T = double; SpMdual = Eigen::SparseMatrix]’ 60 | return parlist.Lambdat * datlist.Zt * V * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 61 | datlist.Zt.transpose() * parlist.Lambdat.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:106:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 106 | SpMdual H = inner_hessian(parlist, datlist, V); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 1> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /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::Product, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, Eigen::Matrix, 1>; U = Eigen::Product, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /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::Product, Eigen::Matrix, 1>; Derived = Eigen::Product, Eigen::Matrix, 1>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ compute_galamm.cpp:54:30: required from ‘T loss(const parameters&, const data&, Vdual&, std::vector > >&, ldlt&, Vdual&) [with T = double; Vdual = Eigen::Matrix; ldlt = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >]’ 54 | ret += ((WSqrt0 * y0).dot(WSqrt0 * lp0) - | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ compute_galamm.cpp:110:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 110 | T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | 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::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:173:20: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ compute_galamm.cpp:123:13: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >]’ 178 | derived().matrixL().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: 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::Matrix; DecType = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ compute_galamm.cpp:123:13: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ 278 | typedef typename DiagonalVectorType::Scalar Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ compute_galamm.cpp:123:13: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ compute_galamm.cpp:123:13: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >]’ 184 | derived().matrixU().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: 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::Matrix; DecType = Eigen::SimplicialLDLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix >; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ compute_galamm.cpp:123:13: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:187:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ compute_galamm.cpp:123:13: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>; Rhs = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::DiagonalMatrix, 0>, Eigen::Transpose >, 2>, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ misc.h:61:28: required from ‘SpMdual inner_hessian(const parameters&, const data&, const Eigen::DiagonalMatrix&) [with T = double; SpMdual = Eigen::SparseMatrix]’ 60 | return parlist.Lambdat * datlist.Zt * V * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 61 | datlist.Zt.transpose() * parlist.Lambdat.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:106:31: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 106 | SpMdual H = inner_hessian(parlist, datlist, V); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /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>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ compute_galamm.cpp:123:13: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ compute_galamm.cpp:123:13: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | 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:190:83: 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:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ compute_galamm.cpp:123:13: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ misc.h:28:35: required from ‘Vdual linpred(const parameters&, const data&) [with T = double; Vdual = Eigen::Matrix]’ 28 | return datlist.X * parlist.beta + datlist.Zt.transpose() * | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | parlist.Lambdat.transpose() * parlist.u; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:92:24: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 92 | Vdual lp = linpred(parlist, datlist); | ~~~~~~~^~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ compute_galamm.cpp:123:13: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ compute_galamm.cpp:123:13: required from ‘logLikObject logLik(parameters, data, std::vector > >&) [with T = double]’ 123 | delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:305:22: required from ‘Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix&, const Eigen::SparseMatrix&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf >&, const Rcpp::ListOf >&, const Eigen::VectorXd&, const std::vector&, const std::vector >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | auto lll = logLik(parlist, datlist, mod); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ compute_galamm.cpp:458:27: required from here 458 | return wrapper( | ~~~~~~~~~~~~~~~^ 459 | y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 460 | lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 461 | weights, weights_mapping, family, family_mapping, k, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | maxit_conditional_modes, lossvalue_tol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /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 > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ model.h:153:31: required from ‘T Poisson::cumulant(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 153 | return linpred.array().exp().sum(); | ~~~~~~~~~~~~~~~~~~~^~ model.h:151:5: required from here 151 | T cumulant(const Vdual& linpred, const Vdual& trials, | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ model.h:69:16: required from ‘T Binomial::cumulant(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 69 | return ((1 + linpred.array().exp()).log() * trials.array()).sum(); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~ model.h:67:5: required from here 67 | T cumulant(const Vdual& linpred, const Vdual& trials, | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ model.h:69:44: required from ‘T Binomial::cumulant(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 69 | return ((1 + linpred.array().exp()).log() * trials.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ model.h:67:5: required from here 67 | T cumulant(const Vdual& linpred, const Vdual& trials, | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ model.h:69:47: required from ‘T Binomial::cumulant(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 69 | return ((1 + linpred.array().exp()).log() * trials.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ model.h:67:5: required from here 67 | T cumulant(const Vdual& linpred, const Vdual& trials, | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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 > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ model.h:77:34: required from ‘Vdual Binomial::meanfun(Vdual&, Vdual&) [with T = double; Vdual = Eigen::Matrix]’ 77 | return linpred.array().exp() / (1 + linpred.array().exp()) * trials.array(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ model.h:75:12: required from here 75 | Vdual meanfun(const Vdual& linpred, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ model.h:77:64: required from ‘Vdual Binomial::meanfun(Vdual&, Vdual&) [with T = double; Vdual = Eigen::Matrix]’ 77 | return linpred.array().exp() / (1 + linpred.array().exp()) * trials.array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ model.h:75:12: required from here 75 | Vdual meanfun(const Vdual& linpred, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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 > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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 > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ model.h:84:49: required from ‘Vdual Binomial::get_V(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 84 | return meanfun(linpred, trials).array() / trials.array() * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ model.h:80:12: required from here 80 | Vdual get_V( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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 > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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 > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ model.h:85:29: required from ‘Vdual Binomial::get_V(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 85 | (trials.array() - meanfun(linpred, trials).array()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ model.h:80:12: required from here 80 | Vdual get_V( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, 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::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ model.h:84:66: required from ‘Vdual Binomial::get_V(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 84 | return meanfun(linpred, trials).array() / trials.array() * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 85 | (trials.array() - meanfun(linpred, trials).array()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ model.h:80:12: required from here 80 | Vdual get_V( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 > > >’ 41 | template class DenseBase | ^~~~~~~~~ /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 > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /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 > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ model.h:124:44: required from ‘Vdual Gaussian::get_V(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 124 | return WSqrt.diagonal().array().pow(2); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ model.h:122:12: required from here 122 | Vdual get_V(const Vdual& linpred, const Vdual& trials, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ model.h:131:24: required from ‘T Gaussian::get_phi(Vdual&, Vdual&, Vdual&, Ddual&, int) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 131 | return ((WSqrt * (y - linpred)).squaredNorm() + u.squaredNorm()) / n; | ~~~~~~~^~~~~~~~~~~~~~~~ model.h:128:5: required from here 128 | T get_phi( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::Matrix, 1>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ model.h:111:41: required from ‘T Gaussian::cumulant(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 111 | return (WSqrt * linpred).squaredNorm() / 2; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ model.h:109:5: required from here 109 | T cumulant(const Vdual& linpred, const Vdual& trials, | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ model.h:131:52: required from ‘T Gaussian::get_phi(Vdual&, Vdual&, Vdual&, Ddual&, int) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 131 | return ((WSqrt * (y - linpred)).squaredNorm() + u.squaredNorm()) / n; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ model.h:128:5: required from here 128 | T get_phi( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ model.h:153:37: required from ‘T Poisson::cumulant(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 153 | return linpred.array().exp().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ model.h:151:5: required from here 151 | T cumulant(const Vdual& linpred, const Vdual& trials, | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | 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::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /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::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ model.h:69:68: required from ‘T Binomial::cumulant(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 69 | return ((1 + linpred.array().exp()).log() * trials.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ model.h:67:5: required from here 67 | T cumulant(const Vdual& linpred, const Vdual& trials, | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 1> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::Matrix, 1>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ model.h:111:41: required from ‘T Gaussian::cumulant(Vdual&, Vdual&, Ddual&) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 111 | return (WSqrt * linpred).squaredNorm() / 2; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ model.h:109:5: required from here 109 | T cumulant(const Vdual& linpred, const Vdual& trials, | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ model.h:131:52: required from ‘T Gaussian::get_phi(Vdual&, Vdual&, Vdual&, Ddual&, int) [with T = double; Vdual = Eigen::Matrix; Ddual = Eigen::DiagonalMatrix]’ 131 | return ((WSqrt * (y - linpred)).squaredNorm() + u.squaredNorm()) / n; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ model.h:128:5: required from here 128 | T get_phi( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o galamm.so RcppExports.o compute_galamm.o -L/usr/lib64/R/lib -lR installing to /builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64/usr/local/lib/R/library/00LOCK-galamm/00new/galamm/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 ‘galamm’ finding HTML links ... done VarCorr html anova.galamm html coef.galamm html cognition html confint.galamm html deviance.galamm html diet html epilep html extract_optim_parameters.galamm html factor_loadings.galamm html family.galamm html fitted.galamm html fixef html formula.galamm html galamm-package html galamm html galamm_control html hsced html latent_covariates html latent_covariates_long html lifespan html llikAIC html logLik.galamm html mresp html mresp_hsced html nobs.galamm html plot.galamm html plot_smooth.galamm html predict.galamm html print.VarCorr.galamm html print.summary.galamm html ranef.galamm html residuals.galamm html sigma.galamm html sl html summary.galamm html t2l html vcov.galamm html *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (galamm) + test -d galamm/src + cd galamm/src + rm -f RcppExports.o compute_galamm.o galamm.so + rm -f /builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64/usr/local/lib/R/library/R.css + find /builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64@@g '{}' ';' + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 0.2.1-1.fc40.copr8100629 --unique-debug-suffix -0.2.1-1.fc40.copr8100629.x86_64 --unique-debug-src-base R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/galamm find-debuginfo: starting Extracting debug info from 1 files DWARF-compressing 1 files sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64 304 blocks find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/redhat/brp-mangle-shebangs + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2 + /usr/lib/rpm/redhat/brp-python-hardlink Processing files: R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64 Provides: R-CRAN-galamm = 0.2.1-1.fc40.copr8100629 R-CRAN-galamm(x86-64) = 0.2.1-1.fc40.copr8100629 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: R-CRAN-galamm-debugsource-0.2.1-1.fc40.copr8100629.x86_64 Provides: R-CRAN-galamm-debugsource = 0.2.1-1.fc40.copr8100629 R-CRAN-galamm-debugsource(x86-64) = 0.2.1-1.fc40.copr8100629 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: R-CRAN-galamm-debuginfo-0.2.1-1.fc40.copr8100629.x86_64 Provides: R-CRAN-galamm-debuginfo = 0.2.1-1.fc40.copr8100629 R-CRAN-galamm-debuginfo(x86-64) = 0.2.1-1.fc40.copr8100629 debuginfo(build-id) = 93ec5d1a5e4efe3adf0c8b61ebdfedd35347e47a Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: R-CRAN-galamm-debugsource(x86-64) = 0.2.1-1.fc40.copr8100629 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64 Wrote: /builddir/build/RPMS/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-galamm-debugsource-0.2.1-1.fc40.copr8100629.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-galamm-debuginfo-0.2.1-1.fc40.copr8100629.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.SkUh56 + umask 022 + cd /builddir/build/BUILD + cd galamm + /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.x86_64 + RPM_EC=0 ++ jobs -p + exit 0 Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.L9Fy18 + umask 022 + cd /builddir/build/BUILD + rm -rf /builddir/build/BUILD/galamm-SPECPARTS + rm -rf galamm galamm.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-galamm-0.2.1-1.fc40.copr8100629.src.rpm Finish: build phase for R-CRAN-galamm-0.2.1-1.fc40.copr8100629.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-40-x86_64-1727858890.600071/root/var/log/dnf5.log INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-galamm-0.2.1-1.fc40.copr8100629.src.rpm) Config(child) 1 minutes 26 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "R-CRAN-galamm", "epoch": null, "version": "0.2.1", "release": "1.fc40.copr8100629", "arch": "x86_64" }, { "name": "R-CRAN-galamm-debugsource", "epoch": null, "version": "0.2.1", "release": "1.fc40.copr8100629", "arch": "x86_64" }, { "name": "R-CRAN-galamm-debuginfo", "epoch": null, "version": "0.2.1", "release": "1.fc40.copr8100629", "arch": "x86_64" }, { "name": "R-CRAN-galamm", "epoch": null, "version": "0.2.1", "release": "1.fc40.copr8100629", "arch": "src" } ] } RPMResults finished