Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c148' (ED25519) to the list of known hosts. 100 9977 100 9977 0 0 261k 0 --:--:-- --:--:-- --:--:-- 263k INFO: Reading stdout from command: md5sum gbeta_0.1.0.tar.gz Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-thmuz1v_/R-CRAN-gbeta/R-CRAN-gbeta.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-thmuz1v_/R-CRAN-gbeta --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1727858934.500958 -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-thmuz1v_/R-CRAN-gbeta/R-CRAN-gbeta.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-thmuz1v_/R-CRAN-gbeta --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1727858934.500958 -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-thmuz1v_/R-CRAN-gbeta/R-CRAN-gbeta.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_64-1727858934.500958/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% | 15.3 MiB/s | 11.1 MiB | 00m01s fedora 100% | 16.6 MiB/s | 20.8 MiB | 00m01s Copr repository 100% | 43.1 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% | 498.6 KiB/s | 52.4 KiB | 00m00s [ 2/152] cpio-0:2.15-1.fc40.x86_64 100% | 2.1 MiB/s | 292.2 KiB | 00m00s [ 3/152] diffutils-0:3.10-5.fc40.x86_6 100% | 6.1 MiB/s | 405.6 KiB | 00m00s [ 4/152] bash-0:5.2.26-3.fc40.x86_64 100% | 10.3 MiB/s | 1.8 MiB | 00m00s [ 5/152] grep-0:3.11-7.fc40.x86_64 100% | 6.5 MiB/s | 300.2 KiB | 00m00s [ 6/152] gzip-0:1.13-1.fc40.x86_64 100% | 9.3 MiB/s | 170.6 KiB | 00m00s [ 7/152] info-0:7.1-2.fc40.x86_64 100% | 9.9 MiB/s | 182.3 KiB | 00m00s [ 8/152] patch-0:2.7.6-24.fc40.x86_64 100% | 7.5 MiB/s | 130.7 KiB | 00m00s [ 9/152] rpm-build-0:4.19.1.1-1.fc40.x 100% | 4.8 MiB/s | 78.2 KiB | 00m00s [ 10/152] sed-0:4.9-1.fc40.x86_64 100% | 16.4 MiB/s | 318.2 KiB | 00m00s [ 11/152] tar-2:1.35-3.fc40.x86_64 100% | 31.0 MiB/s | 856.6 KiB | 00m00s [ 12/152] unzip-0:6.0-63.fc40.x86_64 100% | 6.0 MiB/s | 184.5 KiB | 00m00s [ 13/152] which-0:2.21-41.fc40.x86_64 100% | 1.7 MiB/s | 41.4 KiB | 00m00s [ 14/152] xz-1:5.4.6-3.fc40.x86_64 100% | 25.9 MiB/s | 557.4 KiB | 00m00s [ 15/152] fedora-release-common-0:40-39 100% | 106.5 KiB/s | 21.3 KiB | 00m00s [ 16/152] gawk-0:5.3.0-3.fc40.x86_64 100% | 31.5 MiB/s | 1.1 MiB | 00m00s [ 17/152] glibc-minimal-langpack-0:2.39 100% | 723.2 KiB/s | 106.3 KiB | 00m00s [ 18/152] findutils-1:4.9.0-9.fc40.x86_ 100% | 1.2 MiB/s | 491.4 KiB | 00m00s [ 19/152] redhat-rpm-config-0:288-1.fc4 100% | 1.1 MiB/s | 82.1 KiB | 00m00s [ 20/152] coreutils-0:9.4-8.fc40.x86_64 100% | 2.5 MiB/s | 1.1 MiB | 00m00s [ 21/152] filesystem-0:3.18-8.fc40.x86_ 100% | 27.2 MiB/s | 1.1 MiB | 00m00s [ 22/152] ncurses-libs-0:6.4-12.2024012 100% | 16.2 MiB/s | 332.5 KiB | 00m00s [ 23/152] bzip2-libs-0:1.0.8-18.fc40.x8 100% | 2.5 MiB/s | 40.9 KiB | 00m00s [ 24/152] libattr-0:2.5.2-3.fc40.x86_64 100% | 1.1 MiB/s | 18.0 KiB | 00m00s [ 25/152] shadow-utils-2:4.15.1-3.fc40. 100% | 9.1 MiB/s | 1.3 MiB | 00m00s [ 26/152] debugedit-0:5.0-14.fc40.x86_6 100% | 4.8 MiB/s | 78.7 KiB | 00m00s [ 27/152] elfutils-0:0.191-4.fc40.x86_6 100% | 22.6 MiB/s | 531.3 KiB | 00m00s [ 28/152] elfutils-libelf-0:0.191-4.fc4 100% | 11.4 MiB/s | 209.8 KiB | 00m00s [ 29/152] file-0:5.45-4.fc40.x86_64 100% | 3.0 MiB/s | 49.0 KiB | 00m00s [ 30/152] popt-0:1.19-6.fc40.x86_64 100% | 4.1 MiB/s | 66.7 KiB | 00m00s [ 31/152] readline-0:8.2-8.fc40.x86_64 100% | 11.6 MiB/s | 213.3 KiB | 00m00s [ 32/152] rpm-0:4.19.1.1-1.fc40.x86_64 100% | 19.5 MiB/s | 540.1 KiB | 00m00s [ 33/152] rpm-build-libs-0:4.19.1.1-1.f 100% | 5.8 MiB/s | 95.0 KiB | 00m00s [ 34/152] rpm-libs-0:4.19.1.1-1.fc40.x8 100% | 13.1 MiB/s | 308.9 KiB | 00m00s [ 35/152] libacl-0:2.3.2-1.fc40.x86_64 100% | 1.2 MiB/s | 24.4 KiB | 00m00s [ 36/152] util-linux-0:2.40.1-1.fc40.x8 100% | 5.5 MiB/s | 1.2 MiB | 00m00s [ 37/152] xz-libs-1:5.4.6-3.fc40.x86_64 100% | 6.3 MiB/s | 110.0 KiB | 00m00s [ 38/152] gmp-1:6.2.1-8.fc40.x86_64 100% | 16.1 MiB/s | 312.5 KiB | 00m00s [ 39/152] ansible-srpm-macros-0:1-14.fc 100% | 1.2 MiB/s | 20.8 KiB | 00m00s [ 40/152] dwz-0:0.15-6.fc40.x86_64 100% | 7.5 MiB/s | 137.8 KiB | 00m00s [ 41/152] glibc-common-0:2.39-22.fc40.x 100% | 6.6 MiB/s | 390.4 KiB | 00m00s [ 42/152] efi-srpm-macros-0:5-11.fc40.n 100% | 1.4 MiB/s | 22.3 KiB | 00m00s [ 43/152] fonts-srpm-macros-1:2.0.5-14. 100% | 1.6 MiB/s | 26.5 KiB | 00m00s [ 44/152] fpc-srpm-macros-0:1.3-12.fc40 100% | 489.6 KiB/s | 7.8 KiB | 00m00s [ 45/152] ghc-srpm-macros-0:1.9-1.fc40. 100% | 546.8 KiB/s | 8.7 KiB | 00m00s [ 46/152] gnat-srpm-macros-0:6-5.fc40.n 100% | 551.5 KiB/s | 8.8 KiB | 00m00s [ 47/152] coreutils-common-0:9.4-8.fc40 100% | 17.2 MiB/s | 2.1 MiB | 00m00s [ 48/152] go-srpm-macros-0:3.5.0-1.fc40 100% | 1.5 MiB/s | 27.5 KiB | 00m00s [ 49/152] kernel-srpm-macros-0:1.0-23.f 100% | 608.0 KiB/s | 9.7 KiB | 00m00s [ 50/152] lua-srpm-macros-0:1-13.fc40.n 100% | 545.7 KiB/s | 8.7 KiB | 00m00s [ 51/152] ocaml-srpm-macros-0:9-3.fc40. 100% | 567.1 KiB/s | 9.1 KiB | 00m00s [ 52/152] openblas-srpm-macros-0:2-16.f 100% | 468.8 KiB/s | 7.5 KiB | 00m00s [ 53/152] package-notes-srpm-macros-0:0 100% | 621.5 KiB/s | 9.9 KiB | 00m00s [ 54/152] perl-srpm-macros-0:1-53.fc40. 100% | 523.9 KiB/s | 8.4 KiB | 00m00s [ 55/152] zig-srpm-macros-0:1-2.fc40.no 100% | 502.4 KiB/s | 8.0 KiB | 00m00s [ 56/152] zip-0:3.0-40.fc40.x86_64 100% | 13.6 MiB/s | 264.8 KiB | 00m00s [ 57/152] libxcrypt-0:4.4.36-5.fc40.x86 100% | 6.4 MiB/s | 118.1 KiB | 00m00s [ 58/152] setup-0:2.14.5-2.fc40.noarch 100% | 8.9 MiB/s | 154.7 KiB | 00m00s [ 59/152] libcap-ng-0:0.8.4-4.fc40.x86_ 100% | 2.0 MiB/s | 32.6 KiB | 00m00s [ 60/152] libutempter-0:1.2.1-13.fc40.x 100% | 1.6 MiB/s | 26.4 KiB | 00m00s [ 61/152] ncurses-base-0:6.4-12.2024012 100% | 5.4 MiB/s | 88.8 KiB | 00m00s [ 62/152] elfutils-libs-0:0.191-4.fc40. 100% | 10.6 MiB/s | 259.9 KiB | 00m00s [ 63/152] elfutils-debuginfod-client-0: 100% | 2.1 MiB/s | 38.5 KiB | 00m00s [ 64/152] util-linux-core-0:2.40.1-1.fc 100% | 9.5 MiB/s | 537.0 KiB | 00m00s [ 65/152] file-libs-0:5.45-4.fc40.x86_6 100% | 31.0 MiB/s | 762.7 KiB | 00m00s [ 66/152] lua-libs-0:5.4.6-5.fc40.x86_6 100% | 3.9 MiB/s | 131.9 KiB | 00m00s [ 67/152] sqlite-libs-0:3.45.1-2.fc40.x 100% | 15.3 MiB/s | 705.1 KiB | 00m00s [ 68/152] elfutils-default-yama-scope-0 100% | 564.0 KiB/s | 13.5 KiB | 00m00s [ 69/152] basesystem-0:11-20.fc40.noarc 100% | 449.3 KiB/s | 7.2 KiB | 00m00s [ 70/152] glibc-0:2.39-22.fc40.x86_64 100% | 27.3 MiB/s | 2.2 MiB | 00m00s [ 71/152] libselinux-0:3.7-5.fc40.x86_6 100% | 1.7 MiB/s | 88.0 KiB | 00m00s [ 72/152] glibc-gconv-extra-0:2.39-22.f 100% | 17.6 MiB/s | 1.7 MiB | 00m00s [ 73/152] zlib-ng-compat-0:2.1.7-2.fc40 100% | 1.5 MiB/s | 77.7 KiB | 00m00s [ 74/152] libsepol-0:3.7-2.fc40.x86_64 100% | 6.4 MiB/s | 342.2 KiB | 00m00s [ 75/152] libcap-0:2.69-8.fc40.x86_64 100% | 1.7 MiB/s | 85.7 KiB | 00m00s [ 76/152] libzstd-0:1.5.6-1.fc40.x86_64 100% | 5.5 MiB/s | 309.2 KiB | 00m00s [ 77/152] rpm-sequoia-0:1.7.0-1.fc40.x8 100% | 14.8 MiB/s | 892.8 KiB | 00m00s [ 78/152] libgcc-0:14.2.1-3.fc40.x86_64 100% | 2.6 MiB/s | 133.3 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qt6-srpm-macros-0:6.7.2-2.fc4 100% | 191.4 KiB/s | 9.0 KiB | 00m00s [118/152] rust-srpm-macros-0:26.3-1.fc4 100% | 260.7 KiB/s | 12.5 KiB | 00m00s [119/152] libcom_err-0:1.47.0-5.fc40.x8 100% | 1.5 MiB/s | 25.4 KiB | 00m00s [120/152] gdbm-1:1.23-6.fc40.x86_64 100% | 7.8 MiB/s | 152.5 KiB | 00m00s [121/152] libtirpc-0:1.3.5-0.fc40.x86_6 100% | 1.9 MiB/s | 94.1 KiB | 00m00s [122/152] crypto-policies-0:20240725-1. 100% | 2.0 MiB/s | 99.2 KiB | 00m00s [123/152] ca-certificates-0:2024.2.69_v 100% | 13.1 MiB/s | 871.2 KiB | 00m00s [124/152] krb5-libs-0:1.21.3-1.fc40.x86 100% | 13.4 MiB/s | 757.0 KiB | 00m00s [125/152] keyutils-libs-0:1.6.3-3.fc40. 100% | 1.4 MiB/s | 31.5 KiB | 00m00s [126/152] libverto-0:0.3.2-8.fc40.x86_6 100% | 1.1 MiB/s | 20.5 KiB | 00m00s [127/152] libxml2-0:2.12.8-1.fc40.x86_6 100% | 12.4 MiB/s | 687.1 KiB | 00m00s [128/152] fedora-repos-0:40-2.noarch 100% | 189.7 KiB/s | 9.5 KiB | 00m00s [129/152] fedora-gpg-keys-0:40-2.noarch 100% | 2.6 MiB/s | 132.1 KiB | 00m00s [130/152] libffi-0:3.4.4-7.fc40.x86_64 100% | 1.7 MiB/s | 39.4 KiB | 00m00s [131/152] libtasn1-0:4.19.0-6.fc40.x86_ 100% | 3.0 MiB/s | 73.7 KiB | 00m00s [132/152] p11-kit-0:0.25.5-1.fc40.x86_6 100% | 9.1 MiB/s | 491.2 KiB | 00m00s [133/152] alternatives-0:1.27-1.fc40.x8 100% | 848.4 KiB/s | 40.7 KiB | 00m00s [134/152] p11-kit-trust-0:0.25.5-1.fc40 100% | 2.6 MiB/s | 132.0 KiB | 00m00s [135/152] binutils-gold-0:2.41-37.fc40. 100% | 13.9 MiB/s | 780.6 KiB | 00m00s [136/152] fedora-release-0:40-39.noarch 100% | 225.1 KiB/s | 10.8 KiB | 00m00s [137/152] xxhash-libs-0:0.8.2-2.fc40.x8 100% | 1.6 MiB/s | 36.9 KiB | 00m00s [138/152] libbrotli-0:1.1.0-3.fc40.x86_ 100% | 12.7 MiB/s | 338.4 KiB | 00m00s [139/152] libcurl-0:8.6.0-10.fc40.x86_6 100% | 6.4 MiB/s | 344.8 KiB | 00m00s [140/152] libidn2-0:2.3.7-1.fc40.x86_64 100% | 6.4 MiB/s | 118.7 KiB | 00m00s [141/152] gdb-minimal-0:15.1-1.fc40.x86 100% | 37.8 MiB/s | 4.3 MiB | 00m00s [142/152] libpsl-0:0.21.5-3.fc40.x86_64 100% | 3.7 MiB/s | 63.9 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(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% | 638.0 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% | 1.9 KiB/s | 152.0 B | 00m00s [ 3/154] Installing libgcc-0:14.2.1-3. 100% | 134.9 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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00m00s [ 64/154] Installing libmount-0:2.40.1- 100% | 172.3 MiB/s | 352.8 KiB | 00m00s [ 65/154] Installing libsmartcols-0:2.4 100% | 177.3 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% | 288.5 MiB/s | 1.7 MiB | 00m00s [ 72/154] Installing libidn2-0:2.3.7-1. 100% | 81.8 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% | 21.3 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: 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Installing pkgconf-pkg-config 100% | 1.7 MiB/s | 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% | 0.0 B/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% | 0.0 B/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 | 992.0 B | 00m00s [110/154] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [111/154] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [112/154] Installing coreutils-common-0 100% | 249.2 MiB/s | 11.5 MiB | 00m00s [113/154] Installing openssl-libs-1:3.2 100% | 301.0 MiB/s | 7.8 MiB | 00m00s [114/154] Installing coreutils-0:9.4-8. 100% | 149.4 MiB/s | 5.8 MiB | 00m00s >>> Running pre-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc40 >>> Stop pre-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc40.no [115/154] Installing ca-certificates-0: 100% | 2.6 MiB/s | 2.4 MiB | 00m01s >>> Running post-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc4 >>> Stop post-install scriptlet: ca-certificates-0:2024.2.69_v8.0.401-1.0.fc40.n [116/154] Installing krb5-libs-0:1.21.3 100% | 176.9 MiB/s | 2.3 MiB | 00m00s [117/154] Installing libtirpc-0:1.3.5-0 100% | 99.9 MiB/s | 204.5 KiB | 00m00s [118/154] Installing gzip-0:1.13-1.fc40 100% | 127.1 MiB/s | 390.6 KiB | 00m00s [119/154] Installing authselect-libs-0: 100% | 90.4 MiB/s | 833.2 KiB | 00m00s [120/154] Installing libarchive-0:3.7.2 100% | 223.8 MiB/s | 916.6 KiB | 00m00s [121/154] Installing authselect-0:1.5.0 100% | 51.4 MiB/s | 157.9 KiB | 00m00s [122/154] Installing cracklib-0:2.9.11- 100% | 34.9 MiB/s | 250.3 KiB | 00m00s [123/154] Installing libpwquality-0:1.4 100% | 52.5 MiB/s | 430.1 KiB | 00m00s [124/154] Installing libnsl2-0:2.0.1-1. 100% | 28.8 MiB/s | 59.0 KiB | 00m00s [125/154] Installing pam-0:1.6.1-3.fc40 100% | 75.8 MiB/s | 1.8 MiB | 00m00s [126/154] Installing libssh-0:0.10.6-5. 100% | 166.5 MiB/s | 511.4 KiB | 00m00s [127/154] Installing rpm-sequoia-0:1.7. 100% | 295.9 MiB/s | 2.4 MiB | 00m00s [128/154] Installing rpm-libs-0:4.19.1. 100% | 173.7 MiB/s | 711.4 KiB | 00m00s [129/154] Installing libevent-0:2.1.12- 100% | 175.7 MiB/s | 899.4 KiB | 00m00s [130/154] Installing openldap-0:2.6.7-1 100% | 124.8 MiB/s | 638.9 KiB | 00m00s [131/154] Installing libcurl-0:8.6.0-10 100% | 189.9 MiB/s | 777.9 KiB | 00m00s [132/154] Installing elfutils-libs-0:0. 100% | 158.2 MiB/s | 648.0 KiB | 00m00s [133/154] Installing elfutils-debuginfo 100% | 32.7 MiB/s | 66.9 KiB | 00m00s [134/154] Installing binutils-0:2.41-37 100% | 272.2 MiB/s | 26.4 MiB | 00m00s >>> Running post-install scriptlet: binutils-0:2.41-37.fc40.x86_64 >>> Stop post-install scriptlet: binutils-0:2.41-37.fc40.x86_64 [135/154] Installing binutils-gold-0:2. 100% | 101.5 MiB/s | 2.0 MiB | 00m00s >>> Running post-install scriptlet: binutils-gold-0:2.41-37.fc40.x86_64 >>> Stop post-install scriptlet: binutils-gold-0:2.41-37.fc40.x86_64 [136/154] Installing elfutils-0:0.191-4 100% | 213.1 MiB/s | 2.6 MiB | 00m00s [137/154] Installing gdb-minimal-0:15.1 100% | 324.8 MiB/s | 13.0 MiB | 00m00s [138/154] Installing debugedit-0:5.0-14 100% | 65.7 MiB/s | 201.7 KiB | 00m00s [139/154] Installing rpm-build-libs-0:4 100% | 97.3 MiB/s | 199.2 KiB | 00m00s [140/154] Installing curl-0:8.6.0-10.fc 100% | 36.2 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% | 85.6 MiB/s | 2.4 MiB | 00m00s [142/154] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.2 KiB | 00m00s [143/154] Installing lua-srpm-macros-0: 100% | 1.9 MiB/s | 1.9 KiB | 00m00s [144/154] Installing zig-srpm-macros-0: 100% | 0.0 B/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% | 44.4 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% | 89.2 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% | 283.6 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-gbeta-0.1.0-1.fc40.copr8100630.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_64-1727858934.500958/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_64-1727858934.500958/root/var/log/dnf5.log Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-thmuz1v_/R-CRAN-gbeta/R-CRAN-gbeta.spec) Config(child) 0 minutes 23 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-gbeta-0.1.0-1.fc40.copr8100630.src.rpm) Config(fedora-40-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-1727858934.500958/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-gbeta-0.1.0-1.fc40.copr8100630.src.rpm Start: build setup for R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.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-gbeta-0.1.0-1.fc40.copr8100630.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Updating and loading repositories: updates 100% | 1.0 MiB/s | 28.5 KiB | 00m00s fedora 100% | 1.0 MiB/s | 30.7 KiB | 00m00s Copr repository 100% | 44.0 KiB/s | 1.5 KiB | 00m00s Copr repository 100% | 46.7 MiB/s | 12.4 MiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: 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-RcppNumerical x86_64 0.6.0-1.fc40.copr7356294 copr_base 614.1 KiB R-CRAN-Runuran x86_64 0.39-1.fc40.copr8053256 copr_base 2.2 MiB R-CRAN-gsl x86_64 2.1.8-1.fc40.copr7350107 copr_base 890.0 KiB R-devel x86_64 4.4.1-5.fc40 updates 0.0 B Installing dependencies: R-core x86_64 4.4.1-5.fc40 updates 101.6 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 gsl x86_64 2.7.1-8.fc40 fedora 3.2 MiB 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: 168 packages Total size of inbound packages is 288 MiB. Need to download 288 MiB. After this operation 943 MiB will be used (install 943 MiB, remove 0 B). [ 1/168] R-CRAN-Runuran-0:0.39-1.fc40. 100% | 14.4 MiB/s | 1.3 MiB | 00m00s [ 2/168] R-CRAN-Rcpp-0:1.0.13-1.fc40.c 100% | 18.8 MiB/s | 2.0 MiB | 00m00s [ 3/168] R-CRAN-gsl-0:2.1.8-1.fc40.cop 100% | 26.1 MiB/s | 560.4 KiB | 00m00s [ 4/168] R-CRAN-RcppNumerical-0:0.6.0- 100% | 1.6 MiB/s | 216.1 KiB | 00m00s [ 5/168] R-CRAN-RcppEigen-0:0.3.4.0.2- 100% | 59.8 MiB/s | 1.4 MiB | 00m00s [ 6/168] R-devel-0:4.4.1-5.fc40.x86_64 100% | 67.3 KiB/s | 10.4 KiB | 00m00s [ 7/168] R-java-devel-0:4.4.1-5.fc40.x 100% | 120.7 KiB/s | 10.5 KiB | 00m00s [ 8/168] R-core-devel-0:4.4.1-5.fc40.x 100% | 251.8 KiB/s | 95.4 KiB | 00m00s [ 9/168] libRmath-devel-0:4.4.1-5.fc40 100% | 200.4 KiB/s | 16.0 KiB | 00m00s [ 10/168] gsl-0:2.7.1-8.fc40.x86_64 100% | 1.9 MiB/s | 1.1 MiB | 00m01s [ 11/168] R-java-0:4.4.1-5.fc40.x86_64 100% | 141.2 KiB/s | 11.0 KiB | 00m00s [ 12/168] libRmath-0:4.4.1-5.fc40.x86_6 100% | 826.2 KiB/s | 123.9 KiB | 00m00s [ 13/168] cairo-0:1.18.0-3.fc40.x86_64 100% | 7.8 MiB/s | 708.9 KiB | 00m00s 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100% | 362.4 KiB/s | 26.1 KiB | 00m00s [168/168] tzdata-0:2024a-5.fc40.noarch 100% | 767.6 KiB/s | 716.1 KiB | 00m01s -------------------------------------------------------------------------------- [168/168] Total 100% | 26.9 MiB/s | 287.8 MiB | 00m11s Running transaction [ 1/170] Verify package files 100% | 169.0 B/s | 168.0 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 [ 2/170] Prepare transaction 100% | 602.0 B/s | 168.0 B | 00m00s [ 3/170] Installing nspr-0:4.35.0-29.f 100% | 103.6 MiB/s | 318.2 KiB | 00m00s [ 4/170] Installing xorg-x11-proto-dev 100% | 137.1 MiB/s | 1.8 MiB | 00m00s [ 5/170] Installing libgfortran-0:14.2 100% | 304.4 MiB/s | 3.0 MiB | 00m00s [ 6/170] Installing nss-util-0:3.104.0 100% | 112.9 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MiB | 00m00s [168/170] Installing R-CRAN-Runuran-0:0 100% | 133.7 MiB/s | 2.3 MiB | 00m00s [169/170] Installing gcc-plugin-annobin 100% | 2.3 MiB/s | 58.6 KiB | 00m00s >>> Running trigger-install scriptlet: redhat-rpm-config-0:288-1.fc40.noarch >>> Stop trigger-install scriptlet: redhat-rpm-config-0:288-1.fc40.noarch [170/170] Installing annobin-plugin-gcc 100% | 1.2 MiB/s | 977.9 KiB | 00m01s >>> Running trigger-install scriptlet: redhat-rpm-config-0:288-1.fc40.noarch >>> Stop trigger-install scriptlet: redhat-rpm-config-0:288-1.fc40.noarch >>> Running post-transaction scriptlet: crypto-policies-scripts-0:20240725-1.git >>> Stop post-transaction scriptlet: crypto-policies-scripts-0:20240725-1.git28d >>> Running post-transaction scriptlet: nss-0:3.104.0-1.fc40.x86_64 >>> Stop post-transaction scriptlet: nss-0:3.104.0-1.fc40.x86_64 >>> Running post-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch >>> Stop post-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch >>> Running post-transaction scriptlet: java-21-openjdk-headless-1:21.0.4.0.7-2. >>> Stop post-transaction scriptlet: java-21-openjdk-headless-1:21.0.4.0.7-2.fc4 >>> Running post-transaction scriptlet: fontconfig-0:2.15.0-6.fc40.x86_64 >>> Stop post-transaction scriptlet: fontconfig-0:2.15.0-6.fc40.x86_64 >>> Running post-transaction scriptlet: java-21-openjdk-1:21.0.4.0.7-2.fc40.x86_ >>> Stop post-transaction scriptlet: java-21-openjdk-1:21.0.4.0.7-2.fc40.x86_64 >>> Running post-transaction scriptlet: java-21-openjdk-devel-1:21.0.4.0.7-2.fc4 >>> Stop post-transaction scriptlet: java-21-openjdk-devel-1:21.0.4.0.7-2.fc40.x >>> 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 >>> Running trigger-install scriptlet: glib2-0:2.80.3-1.fc40.x86_64 >>> Stop trigger-install scriptlet: glib2-0:2.80.3-1.fc40.x86_64 >>> Running trigger-install scriptlet: glib2-0:2.80.3-1.fc40.x86_64 >>> Stop trigger-install scriptlet: glib2-0:2.80.3-1.fc40.x86_64 >>> Running trigger-install scriptlet: desktop-file-utils-0:0.26-12.fc40.x86_64 >>> Stop trigger-install scriptlet: desktop-file-utils-0:0.26-12.fc40.x86_64 >>> Running trigger-install scriptlet: fontconfig-0:2.15.0-6.fc40.x86_64 >>> Stop trigger-install scriptlet: fontconfig-0:2.15.0-6.fc40.x86_64 Warning: skipped PGP checks for 5 package(s). Finish: build setup for R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.src.rpm Start: rpmbuild R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.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.aqw3vZ + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf gbeta + /usr/bin/mkdir -p gbeta + cd gbeta + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/gbeta_0.1.0.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + rm -rf /builddir/build/BUILD/gbeta-SPECPARTS + /usr/bin/mkdir -p /builddir/build/BUILD/gbeta-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 gbeta/src ']' + find gbeta/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';' + '[' -d gbeta/src ']' + find 'gbeta/src/Make*' -type f -exec sed -i s@-g0@@g '{}' ';' find: ‘gbeta/src/Make*’: No such file or directory + true + 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.XLV9gB + 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 gbeta + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.KdZq4w + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64 ++ dirname /builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.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 gbeta + mkdir -p /builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64/usr/local/lib/R/library + /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64/usr/local/lib/R/library gbeta * installing *source* package ‘gbeta’ ... ** package ‘gbeta’ 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)’ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppNumerical/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; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppNumerical/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 euler.cpp -o euler.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 /usr/local/lib/R/library/RcppNumerical/include/RcppNumerical.h:10, from euler.cpp:3: /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/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/RcppNumerical/include/integration/../Func.h:18:35: required from here 18 | typedef Eigen::Ref Refvec; | ^ /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/RcppNumerical/include/integration/../Func.h:18:35: required from here 18 | typedef Eigen::Ref Refvec; | ^ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:636:45: required from ‘class Numer::Integrator’ 636 | Eigen::Array m_lowerList; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:67:29: required from here 67 | const Integrator::QuadratureRule rule = Integrator::GaussKronrod41 | ^~ /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:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 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, 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/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:188:50: required from here 188 | const Eigen::Map xval(x, *ndim); | ^ /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/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:189:26: required from here 189 | *f = func->operator()(xval); | ~~~~~~~~~~~~~~~~^~~~~~ /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::Ref >, const Eigen::Ref > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > >’ 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::Ref >, const Eigen::Ref > > >’ 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::Ref >, const Eigen::Ref >, 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::Ref >, const Eigen::Ref > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:205:27: required from here 205 | scalefac((upper - lower).prod()), | ^~~~~ /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::Ref > >, 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::Ref > > >’ 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::Ref > > >’ 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::Ref >, 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::Ref > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:212:51: required from here 212 | scalex.noalias() = lb + range.cwiseProduct(x); | ~~~~~~~~~~~~~~~~~~^~~ /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::Ref >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Ref > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Ref > > > >’ 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::Ref >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Ref > > > >’ 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::Ref >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Ref > >, 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::Ref >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Ref > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:212:53: required from here 212 | scalex.noalias() = lb + range.cwiseProduct(x); | ^ /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/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref >’ 281 | template class Ref | ^~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:25:24: required from here 25 | return f.f_grad(x, grad); | ~~~~~~~~^~~~~~~~~ /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/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:36:12: required from ‘class LBFGSpp::BFGSMat’ 36 | Matrix m_s; // History of the s vectors | ^~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:30:21: required from ‘class LBFGSpp::LBFGSSolver’ 30 | BFGSMat m_bfgs; // Approximation to the Hessian matrix | ^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:50:46: required from here 50 | LBFGSpp::LBFGSSolver solver(param); | ^ /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/RcppNumerical/include/optimization/LBFGS.h:106:27: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 106 | m_drt.noalias() = -m_grad; | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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 : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:159:32: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 159 | vecs.noalias() = x - m_xp; | ~~^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:189:28: required from ‘class Numer::QuadratureKronrod’ 189 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod15 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:189:28: required from ‘class Numer::QuadratureKronrod’ 189 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod15 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:215:28: required from ‘class Numer::QuadratureKronrod’ 215 | Eigen::Array QuadratureKronrod::abscissaeGauss15 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:235:29: required from ‘class Numer::QuadratureKronrod’ 235 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod21 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:235:29: required from ‘class Numer::QuadratureKronrod’ 235 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod21 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:267:28: required from ‘class Numer::QuadratureKronrod’ 267 | Eigen::Array QuadratureKronrod::abscissaeGauss21 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:267:28: required from ‘class Numer::QuadratureKronrod’ 267 | Eigen::Array QuadratureKronrod::abscissaeGauss21 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:289:29: required from ‘class Numer::QuadratureKronrod’ 289 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod31 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:289:29: required from ‘class Numer::QuadratureKronrod’ 289 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod31 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:359:29: required from ‘class Numer::QuadratureKronrod’ 359 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod41 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:359:29: required from ‘class Numer::QuadratureKronrod’ 359 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod41 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:411:29: required from ‘class Numer::QuadratureKronrod’ 411 | Eigen::Array QuadratureKronrod::abscissaeGauss41 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:411:29: required from ‘class Numer::QuadratureKronrod’ 411 | Eigen::Array QuadratureKronrod::abscissaeGauss41 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:443:29: required from ‘class Numer::QuadratureKronrod’ 443 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod51 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:443:29: required from ‘class Numer::QuadratureKronrod’ 443 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod51 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:505:29: required from ‘class Numer::QuadratureKronrod’ 505 | Eigen::Array QuadratureKronrod::abscissaeGauss51 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:505:29: required from ‘class Numer::QuadratureKronrod’ 505 | Eigen::Array QuadratureKronrod::abscissaeGauss51 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:543:29: required from ‘class Numer::QuadratureKronrod’ 543 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod61 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:543:29: required from ‘class Numer::QuadratureKronrod’ 543 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod61 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:615:29: required from ‘class Numer::QuadratureKronrod’ 615 | Eigen::Array QuadratureKronrod::abscissaeGauss61 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:615:29: required from ‘class Numer::QuadratureKronrod’ 615 | Eigen::Array QuadratureKronrod::abscissaeGauss61 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:657:29: required from ‘class Numer::QuadratureKronrod’ 657 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod71 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:657:29: required from ‘class Numer::QuadratureKronrod’ 657 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod71 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:739:29: required from ‘class Numer::QuadratureKronrod’ 739 | Eigen::Array QuadratureKronrod::abscissaeGauss71 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:739:29: required from ‘class Numer::QuadratureKronrod’ 739 | Eigen::Array QuadratureKronrod::abscissaeGauss71 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:787:29: required from ‘class Numer::QuadratureKronrod’ 787 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod81 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:787:29: required from ‘class Numer::QuadratureKronrod’ 787 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod81 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:879:29: required from ‘class Numer::QuadratureKronrod’ 879 | Eigen::Array QuadratureKronrod::abscissaeGauss81 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:879:29: required from ‘class Numer::QuadratureKronrod’ 879 | Eigen::Array QuadratureKronrod::abscissaeGauss81 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:931:29: required from ‘class Numer::QuadratureKronrod’ 931 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod91 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:931:29: required from ‘class Numer::QuadratureKronrod’ 931 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod91 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1033:29: required from ‘class Numer::QuadratureKronrod’ 1033 | Eigen::Array QuadratureKronrod::abscissaeGauss91 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1033:29: required from ‘class Numer::QuadratureKronrod’ 1033 | Eigen::Array QuadratureKronrod::abscissaeGauss91 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1091:29: required from ‘class Numer::QuadratureKronrod’ 1091 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod101 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1091:29: required from ‘class Numer::QuadratureKronrod’ 1091 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod101 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1203:29: required from ‘class Numer::QuadratureKronrod’ 1203 | Eigen::Array QuadratureKronrod::abscissaeGauss101 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1203:29: required from ‘class Numer::QuadratureKronrod’ 1203 | Eigen::Array QuadratureKronrod::abscissaeGauss101 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1265:29: required from ‘class Numer::QuadratureKronrod’ 1265 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod121 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1265:29: required from ‘class Numer::QuadratureKronrod’ 1265 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod121 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1397:29: required from ‘class Numer::QuadratureKronrod’ 1397 | Eigen::Array QuadratureKronrod::abscissaeGauss121 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1397:29: required from ‘class Numer::QuadratureKronrod’ 1397 | Eigen::Array QuadratureKronrod::abscissaeGauss121 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1469:30: required from ‘class Numer::QuadratureKronrod’ 1469 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod201 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1469:30: required from ‘class Numer::QuadratureKronrod’ 1469 | Eigen::Array QuadratureKronrod::abscissaeGaussKronrod201 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1681:29: required from ‘class Numer::QuadratureKronrod’ 1681 | Eigen::Array QuadratureKronrod::abscissaeGauss201 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/GaussKronrodNodesWeights.h:1681:29: required from ‘class Numer::QuadratureKronrod’ 1681 | Eigen::Array QuadratureKronrod::abscissaeGauss201 = | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:449:40: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 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, 0, Eigen::InnerStride<1> > >’ 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::InnerStride<1> > >’ 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::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Ref >, const Eigen::Ref > >, 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::Ref >, const Eigen::Ref > > >’ 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::Ref >, const Eigen::Ref > > >’ 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_product_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:497:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::prod() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; typename Eigen::internal::traits::Scalar = double]’ 497 | return derived().redux(Eigen::internal::scalar_product_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:205:38: required from here 205 | scalefac((upper - lower).prod()), | ~~~~~~~~~~~~~~~~~~~~^~ /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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /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 : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:37: required from ‘static void LBFGSpp::LineSearchNocedalWright::LineSearch(Foo&, const LBFGSpp::LBFGSParam&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix]’ 143 | x.noalias() = xp + step * drt; | ~~~~~^~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:127:43: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 127 | LineSearch::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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 : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:37: required from ‘static void LBFGSpp::LineSearchNocedalWright::LineSearch(Foo&, const LBFGSpp::LBFGSParam&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix]’ 143 | x.noalias() = xp + step * drt; | ~~~~~^~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:127:43: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 127 | LineSearch::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 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::CwiseBinaryOp, 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::Matrix, const Eigen::CwiseBinaryOp, 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::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/LineSearchNocedalWright.h:143:30: required from ‘static void LBFGSpp::LineSearchNocedalWright::LineSearch(Foo&, const LBFGSpp::LBFGSParam&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = Numer::LBFGSFun; Scalar = double; Vector = Eigen::Matrix]’ 143 | x.noalias() = xp + step * drt; | ~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:127:43: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 127 | LineSearch::LineSearch(f, m_param, m_xp, m_drt, step_max, step, fx, m_grad, dg, x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:161:56: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 161 | if (vecs.dot(vecy) > eps * vecy.squaredNorm()) | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 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, true>, 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, 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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:83:16: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 83 | m_s.col(loc).noalias() = s; | ~~~~~~~^~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 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, true>, 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, 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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:37: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ~~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 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, true> >, 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, 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/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, 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, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:56: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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> >, Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >’ 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> >, Eigen::Block, -1, 1, true>, 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, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:59: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:29: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 110 | m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose(); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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/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/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:82: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 110 | m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose(); | ~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 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, 0, Eigen::OuterStride<> > >’ 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::OuterStride<> > >’ 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::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 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::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::CwiseNullaryOp, const Eigen::Matrix >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:163:41: required from ‘void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]’ 163 | res.noalias() -= m_alpha[j] * m_y.col(j); | ~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:165:28: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 165 | m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:448:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 448 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | QuadratureKronrod::weightsGaussKronrod15, QuadratureKronrod::weightsGauss15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 451 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:448:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 448 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | QuadratureKronrod::weightsGaussKronrod15, QuadratureKronrod::weightsGauss15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 451 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:448:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 448 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | QuadratureKronrod::weightsGaussKronrod15, QuadratureKronrod::weightsGauss15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 451 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:448:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 448 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | QuadratureKronrod::weightsGaussKronrod15, QuadratureKronrod::weightsGauss15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 451 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:448:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 448 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | QuadratureKronrod::weightsGaussKronrod15, QuadratureKronrod::weightsGauss15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 451 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:448:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 448 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | QuadratureKronrod::weightsGaussKronrod15, QuadratureKronrod::weightsGauss15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 451 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:454:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 454 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 455 | QuadratureKronrod::abscissaeGaussKronrod21, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 456 | QuadratureKronrod::weightsGaussKronrod21, QuadratureKronrod::weightsGauss21, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 457 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:454:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 454 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 455 | QuadratureKronrod::abscissaeGaussKronrod21, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 456 | QuadratureKronrod::weightsGaussKronrod21, QuadratureKronrod::weightsGauss21, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 457 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:454:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 454 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 455 | QuadratureKronrod::abscissaeGaussKronrod21, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 456 | QuadratureKronrod::weightsGaussKronrod21, QuadratureKronrod::weightsGauss21, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 457 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:454:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 454 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 455 | QuadratureKronrod::abscissaeGaussKronrod21, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 456 | QuadratureKronrod::weightsGaussKronrod21, QuadratureKronrod::weightsGauss21, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 457 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:460:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 460 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 461 | QuadratureKronrod::abscissaeGaussKronrod31, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | QuadratureKronrod::weightsGaussKronrod31, QuadratureKronrod::weightsGauss31, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 463 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:460:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 460 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 461 | QuadratureKronrod::abscissaeGaussKronrod31, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | QuadratureKronrod::weightsGaussKronrod31, QuadratureKronrod::weightsGauss31, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 463 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:460:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 460 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 461 | QuadratureKronrod::abscissaeGaussKronrod31, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | QuadratureKronrod::weightsGaussKronrod31, QuadratureKronrod::weightsGauss31, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 463 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:460:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 460 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 461 | QuadratureKronrod::abscissaeGaussKronrod31, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | QuadratureKronrod::weightsGaussKronrod31, QuadratureKronrod::weightsGauss31, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 463 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:466:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 466 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 467 | QuadratureKronrod::abscissaeGaussKronrod41, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 468 | QuadratureKronrod::weightsGaussKronrod41, QuadratureKronrod::weightsGauss41, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 469 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:466:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 466 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 467 | QuadratureKronrod::abscissaeGaussKronrod41, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 468 | QuadratureKronrod::weightsGaussKronrod41, QuadratureKronrod::weightsGauss41, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 469 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:466:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 466 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 467 | QuadratureKronrod::abscissaeGaussKronrod41, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 468 | QuadratureKronrod::weightsGaussKronrod41, QuadratureKronrod::weightsGauss41, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 469 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:466:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 466 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 467 | QuadratureKronrod::abscissaeGaussKronrod41, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 468 | QuadratureKronrod::weightsGaussKronrod41, QuadratureKronrod::weightsGauss41, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 469 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:472:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 472 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 473 | QuadratureKronrod::abscissaeGaussKronrod51, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 474 | QuadratureKronrod::weightsGaussKronrod51, QuadratureKronrod::weightsGauss51, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 475 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:472:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 472 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 473 | QuadratureKronrod::abscissaeGaussKronrod51, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 474 | QuadratureKronrod::weightsGaussKronrod51, QuadratureKronrod::weightsGauss51, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 475 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:472:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 472 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 473 | QuadratureKronrod::abscissaeGaussKronrod51, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 474 | QuadratureKronrod::weightsGaussKronrod51, QuadratureKronrod::weightsGauss51, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 475 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:472:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 472 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 473 | QuadratureKronrod::abscissaeGaussKronrod51, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 474 | QuadratureKronrod::weightsGaussKronrod51, QuadratureKronrod::weightsGauss51, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 475 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:478:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 478 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 479 | QuadratureKronrod::abscissaeGaussKronrod61, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 480 | QuadratureKronrod::weightsGaussKronrod61, QuadratureKronrod::weightsGauss61, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 481 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:478:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 478 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 479 | QuadratureKronrod::abscissaeGaussKronrod61, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 480 | QuadratureKronrod::weightsGaussKronrod61, QuadratureKronrod::weightsGauss61, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 481 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:478:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 478 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 479 | QuadratureKronrod::abscissaeGaussKronrod61, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 480 | QuadratureKronrod::weightsGaussKronrod61, QuadratureKronrod::weightsGauss61, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 481 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:478:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 478 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 479 | QuadratureKronrod::abscissaeGaussKronrod61, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 480 | QuadratureKronrod::weightsGaussKronrod61, QuadratureKronrod::weightsGauss61, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 481 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:542:57: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]’ 542 | Eigen::Array points; | ^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:484:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 484 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 485 | QuadratureKronrod::abscissaeGaussKronrod71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | QuadratureKronrod::weightsGaussKronrod71, QuadratureKronrod::weightsGauss71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 487 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:542:57: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]’ 542 | Eigen::Array points; | ^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:484:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 484 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 485 | QuadratureKronrod::abscissaeGaussKronrod71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | QuadratureKronrod::weightsGaussKronrod71, QuadratureKronrod::weightsGauss71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 487 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:484:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 484 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 485 | QuadratureKronrod::abscissaeGaussKronrod71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | QuadratureKronrod::weightsGaussKronrod71, QuadratureKronrod::weightsGauss71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 487 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:484:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 484 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 485 | QuadratureKronrod::abscissaeGaussKronrod71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | QuadratureKronrod::weightsGaussKronrod71, QuadratureKronrod::weightsGauss71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 487 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:484:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 484 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 485 | QuadratureKronrod::abscissaeGaussKronrod71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | QuadratureKronrod::weightsGaussKronrod71, QuadratureKronrod::weightsGauss71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 487 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:484:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 484 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 485 | QuadratureKronrod::abscissaeGaussKronrod71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | QuadratureKronrod::weightsGaussKronrod71, QuadratureKronrod::weightsGauss71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 487 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:484:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 484 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 485 | QuadratureKronrod::abscissaeGaussKronrod71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | QuadratureKronrod::weightsGaussKronrod71, QuadratureKronrod::weightsGauss71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 487 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:484:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 484 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 485 | QuadratureKronrod::abscissaeGaussKronrod71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | QuadratureKronrod::weightsGaussKronrod71, QuadratureKronrod::weightsGauss71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 487 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:542:57: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]’ 542 | Eigen::Array points; | ^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:490:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 490 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 491 | QuadratureKronrod::abscissaeGaussKronrod81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 492 | QuadratureKronrod::weightsGaussKronrod81, QuadratureKronrod::weightsGauss81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 493 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:542:57: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]’ 542 | Eigen::Array points; | ^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:490:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 490 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 491 | QuadratureKronrod::abscissaeGaussKronrod81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 492 | QuadratureKronrod::weightsGaussKronrod81, QuadratureKronrod::weightsGauss81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 493 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:490:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 490 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 491 | QuadratureKronrod::abscissaeGaussKronrod81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 492 | QuadratureKronrod::weightsGaussKronrod81, QuadratureKronrod::weightsGauss81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 493 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:490:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 490 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 491 | QuadratureKronrod::abscissaeGaussKronrod81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 492 | QuadratureKronrod::weightsGaussKronrod81, QuadratureKronrod::weightsGauss81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 493 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:490:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 490 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 491 | QuadratureKronrod::abscissaeGaussKronrod81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 492 | QuadratureKronrod::weightsGaussKronrod81, QuadratureKronrod::weightsGauss81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 493 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:490:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 490 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 491 | QuadratureKronrod::abscissaeGaussKronrod81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 492 | QuadratureKronrod::weightsGaussKronrod81, QuadratureKronrod::weightsGauss81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 493 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:490:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 490 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 491 | QuadratureKronrod::abscissaeGaussKronrod81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 492 | QuadratureKronrod::weightsGaussKronrod81, QuadratureKronrod::weightsGauss81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 493 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:490:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 490 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 491 | QuadratureKronrod::abscissaeGaussKronrod81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 492 | QuadratureKronrod::weightsGaussKronrod81, QuadratureKronrod::weightsGauss81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 493 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:542:57: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]’ 542 | Eigen::Array points; | ^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:496:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 496 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 497 | QuadratureKronrod::abscissaeGaussKronrod91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 498 | QuadratureKronrod::weightsGaussKronrod91, QuadratureKronrod::weightsGauss91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 499 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:542:57: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]’ 542 | Eigen::Array points; | ^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:496:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 496 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 497 | QuadratureKronrod::abscissaeGaussKronrod91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 498 | QuadratureKronrod::weightsGaussKronrod91, QuadratureKronrod::weightsGauss91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 499 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:496:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 496 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 497 | QuadratureKronrod::abscissaeGaussKronrod91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 498 | QuadratureKronrod::weightsGaussKronrod91, QuadratureKronrod::weightsGauss91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 499 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:496:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 496 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 497 | QuadratureKronrod::abscissaeGaussKronrod91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 498 | QuadratureKronrod::weightsGaussKronrod91, QuadratureKronrod::weightsGauss91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 499 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:496:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 496 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 497 | QuadratureKronrod::abscissaeGaussKronrod91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 498 | QuadratureKronrod::weightsGaussKronrod91, QuadratureKronrod::weightsGauss91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 499 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:496:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 496 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 497 | QuadratureKronrod::abscissaeGaussKronrod91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 498 | QuadratureKronrod::weightsGaussKronrod91, QuadratureKronrod::weightsGauss91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 499 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:496:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 496 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 497 | QuadratureKronrod::abscissaeGaussKronrod91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 498 | QuadratureKronrod::weightsGaussKronrod91, QuadratureKronrod::weightsGauss91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 499 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:496:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 496 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 497 | QuadratureKronrod::abscissaeGaussKronrod91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 498 | QuadratureKronrod::weightsGaussKronrod91, QuadratureKronrod::weightsGauss91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 499 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:502:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 502 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 503 | QuadratureKronrod::abscissaeGaussKronrod101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | QuadratureKronrod::weightsGaussKronrod101, QuadratureKronrod::weightsGauss101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:502:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 502 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 503 | QuadratureKronrod::abscissaeGaussKronrod101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | QuadratureKronrod::weightsGaussKronrod101, QuadratureKronrod::weightsGauss101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:502:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 502 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 503 | QuadratureKronrod::abscissaeGaussKronrod101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | QuadratureKronrod::weightsGaussKronrod101, QuadratureKronrod::weightsGauss101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:502:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 502 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 503 | QuadratureKronrod::abscissaeGaussKronrod101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | QuadratureKronrod::weightsGaussKronrod101, QuadratureKronrod::weightsGauss101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:542:57: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]’ 542 | Eigen::Array points; | ^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:508:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 508 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 509 | QuadratureKronrod::abscissaeGaussKronrod121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 510 | QuadratureKronrod::weightsGaussKronrod121, QuadratureKronrod::weightsGauss121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 511 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:542:57: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]’ 542 | Eigen::Array points; | ^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:508:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 508 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 509 | QuadratureKronrod::abscissaeGaussKronrod121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 510 | QuadratureKronrod::weightsGaussKronrod121, QuadratureKronrod::weightsGauss121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 511 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:508:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 508 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 509 | QuadratureKronrod::abscissaeGaussKronrod121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 510 | QuadratureKronrod::weightsGaussKronrod121, QuadratureKronrod::weightsGauss121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 511 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:508:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 508 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 509 | QuadratureKronrod::abscissaeGaussKronrod121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 510 | QuadratureKronrod::weightsGaussKronrod121, QuadratureKronrod::weightsGauss121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 511 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:508:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 508 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 509 | QuadratureKronrod::abscissaeGaussKronrod121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 510 | QuadratureKronrod::weightsGaussKronrod121, QuadratureKronrod::weightsGauss121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 511 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:508:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 508 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 509 | QuadratureKronrod::abscissaeGaussKronrod121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 510 | QuadratureKronrod::weightsGaussKronrod121, QuadratureKronrod::weightsGauss121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 511 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:508:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 508 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 509 | QuadratureKronrod::abscissaeGaussKronrod121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 510 | QuadratureKronrod::weightsGaussKronrod121, QuadratureKronrod::weightsGauss121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 511 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:508:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 508 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 509 | QuadratureKronrod::abscissaeGaussKronrod121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 510 | QuadratureKronrod::weightsGaussKronrod121, QuadratureKronrod::weightsGauss121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 511 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:542:57: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]’ 542 | Eigen::Array points; | ^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:514:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 514 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 515 | QuadratureKronrod::abscissaeGaussKronrod201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 516 | QuadratureKronrod::weightsGaussKronrod201, QuadratureKronrod::weightsGauss201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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 | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:542:57: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]’ 542 | Eigen::Array points; | ^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:514:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 514 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 515 | QuadratureKronrod::abscissaeGaussKronrod201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 516 | QuadratureKronrod::weightsGaussKronrod201, QuadratureKronrod::weightsGauss201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:514:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 514 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 515 | QuadratureKronrod::abscissaeGaussKronrod201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 516 | QuadratureKronrod::weightsGaussKronrod201, QuadratureKronrod::weightsGauss201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 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, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:514:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 514 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 515 | QuadratureKronrod::abscissaeGaussKronrod201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 516 | QuadratureKronrod::weightsGaussKronrod201, QuadratureKronrod::weightsGauss201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:559:67: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]’ 559 | Eigen::Map< Eigen::Array > f1Array(&fPoints[1], size1, 1); | ^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:514:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 514 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 515 | QuadratureKronrod::abscissaeGaussKronrod201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 516 | QuadratureKronrod::weightsGaussKronrod201, QuadratureKronrod::weightsGauss201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:36: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:514:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 514 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 515 | QuadratureKronrod::abscissaeGaussKronrod201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 516 | QuadratureKronrod::weightsGaussKronrod201, QuadratureKronrod::weightsGauss201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /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 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:73: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:514:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 514 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 515 | QuadratureKronrod::abscissaeGaussKronrod201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 516 | QuadratureKronrod::weightsGaussKronrod201, QuadratureKronrod::weightsGauss201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false>, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:47: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:514:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 514 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 515 | QuadratureKronrod::abscissaeGaussKronrod201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 516 | QuadratureKronrod::weightsGaussKronrod201, QuadratureKronrod::weightsGauss201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 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>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:74:32: required from ‘void LBFGSpp::BFGSMat::reset(int, int) [with Scalar = double; bool LBFGSB = false]’ 74 | m_permMinv.diagonal().setOnes(); | ~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:43:21: required from ‘void LBFGSpp::LBFGSSolver::reset(int) [with Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright]’ 43 | m_bfgs.reset(n, m); | ~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:85:9: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 85 | reset(n); | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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 : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 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::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:123:35: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 123 | Scalar dg = m_grad.dot(m_drt); | ~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 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::Block, -1, 1, true> > >’ 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::Block, -1, 1, true>, 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::Block, -1, 1, true> >’ 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::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 90 | m_theta = m_y.col(loc).squaredNorm() / ys; | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::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 | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:141:50: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 141 | m_permMinv.block(m_m, m_m, m_m, m_m) *= m_theta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::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 | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:167:13: required from ‘void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]’ 167 | res /= m_theta; | ~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:165:28: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 165 | m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::Ref >, const Eigen::Ref > >; 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::Ref >, const Eigen::Ref > >; Func = Eigen::internal::scalar_product_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Ref >, const Eigen::Ref > > >; 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_product_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; 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:497:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::prod() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; typename Eigen::internal::traits::Scalar = double]’ 497 | return derived().redux(Eigen::internal::scalar_product_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:205:38: required from here 205 | scalefac((upper - lower).prod()), | ~~~~~~~~~~~~~~~~~~~~^~ /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, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 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::InnerStride<1> >, 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::InnerStride<1> > >’ 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::InnerStride<1> > >’ 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::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator > >’ 1018 | Flags = evaluator >::Flags, | ^~~~~ /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::Matrix; SrcXprType = Eigen::Ref >; 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::Matrix; SrcXprType = Eigen::Ref >; 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::Matrix; Src = Eigen::Ref >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Ref >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:54:20: required from here 54 | xx.noalias() = x; | ^ /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::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ 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::Block, -1, 1, true>, 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::Block, -1, 1, true>, 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::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >’ 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::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; 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::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:87:43: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 87 | const Scalar ys = m_s.col(loc).dot(m_y.col(loc)); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /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 | ^~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:330:16: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’ 330 | MapVec l(lptr, ldim); | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 416 | m_info = gaussian_elimination_1x1(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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> >, -1, 1, false>, 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, 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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:91: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’ 333 | MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j); | ~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 416 | m_info = gaussian_elimination_1x1(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 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::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 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::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:83: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’ 333 | MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 416 | m_info = gaussian_elimination_1x1(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:361:50: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ 361 | Eigen::Matrix X(ldim, 2); | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 420 | m_info = gaussian_elimination_2x2(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 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, true>, 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, 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/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:14: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ 362 | X.col(0).noalias() = l1 * e11 + l2 * e21; | ~~~~~^~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 420 | m_info = gaussian_elimination_2x2(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:33: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ 362 | X.col(0).noalias() = l1 * e11 + l2 * e21; | ~~~^~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 420 | m_info = gaussian_elimination_2x2(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, 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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:39: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ 362 | X.col(0).noalias() = l1 * e11 + l2 * e21; | ~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 420 | m_info = gaussian_elimination_2x2(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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>, -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, true>, -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, true>, -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, true>, -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, true>, -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, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:81: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ 368 | MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]); | ~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 420 | m_info = gaussian_elimination_2x2(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, 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::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, 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::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, 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::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:92: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ 368 | MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 420 | m_info = gaussian_elimination_2x2(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, 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::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:103: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ 368 | MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 420 | m_info = gaussian_elimination_2x2(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 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::Block, -1, 1, true>, 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::Block, -1, 1, true>, 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::Block, -1, 1, true>, const Eigen::Matrix >’ 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::Block, -1, 1, true>; U = Eigen::Matrix; 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::Matrix; Derived = Eigen::Block, -1, 1, true>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:162:40: required from ‘void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]’ 162 | m_alpha[j] = m_s.col(j).dot(res) / m_ys[j]; | ~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:165:28: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 165 | m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 8; int numGaussRows = 4; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:448:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 448 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 449 | QuadratureKronrod::abscissaeGaussKronrod15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 450 | QuadratureKronrod::weightsGaussKronrod15, QuadratureKronrod::weightsGauss15, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 451 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 11; int numGaussRows = 5; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:454:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 454 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 455 | QuadratureKronrod::abscissaeGaussKronrod21, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 456 | QuadratureKronrod::weightsGaussKronrod21, QuadratureKronrod::weightsGauss21, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 457 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 16; int numGaussRows = 8; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:460:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 460 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 461 | QuadratureKronrod::abscissaeGaussKronrod31, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 462 | QuadratureKronrod::weightsGaussKronrod31, QuadratureKronrod::weightsGauss31, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 463 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 21; int numGaussRows = 10; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:466:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 466 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 467 | QuadratureKronrod::abscissaeGaussKronrod41, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 468 | QuadratureKronrod::weightsGaussKronrod41, QuadratureKronrod::weightsGauss41, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 469 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 26; int numGaussRows = 13; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:472:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 472 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 473 | QuadratureKronrod::abscissaeGaussKronrod51, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 474 | QuadratureKronrod::weightsGaussKronrod51, QuadratureKronrod::weightsGauss51, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 475 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 31; int numGaussRows = 15; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:478:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 478 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 479 | QuadratureKronrod::abscissaeGaussKronrod61, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 480 | QuadratureKronrod::weightsGaussKronrod61, QuadratureKronrod::weightsGauss61, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 481 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 36; int numGaussRows = 18; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:484:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 484 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 485 | QuadratureKronrod::abscissaeGaussKronrod71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | QuadratureKronrod::weightsGaussKronrod71, QuadratureKronrod::weightsGauss71, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 487 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:490:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 490 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 491 | QuadratureKronrod::abscissaeGaussKronrod81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 492 | QuadratureKronrod::weightsGaussKronrod81, QuadratureKronrod::weightsGauss81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 493 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:496:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 496 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 497 | QuadratureKronrod::abscissaeGaussKronrod91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 498 | QuadratureKronrod::weightsGaussKronrod91, QuadratureKronrod::weightsGauss91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 499 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:502:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 502 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 503 | QuadratureKronrod::abscissaeGaussKronrod101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | QuadratureKronrod::weightsGaussKronrod101, QuadratureKronrod::weightsGauss101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:508:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 508 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 509 | QuadratureKronrod::abscissaeGaussKronrod121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 510 | QuadratureKronrod::weightsGaussKronrod121, QuadratureKronrod::weightsGauss121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 511 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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/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:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >, 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >’ 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:514:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 514 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 515 | QuadratureKronrod::abscissaeGaussKronrod201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 516 | QuadratureKronrod::weightsGaussKronrod201, QuadratureKronrod::weightsGauss201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, double>’ 564 | 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, const Eigen::Block, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 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::CwiseUnaryOp, 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: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 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::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 90 | m_theta = m_y.col(loc).squaredNorm() / ys; | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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 ‘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()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:161:56: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 161 | if (vecs.dot(vecy) > eps * vecy.squaredNorm()) | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /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::Transpose >; 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::Transpose >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Transpose >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:110:68: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 110 | m_permMinv.block(m_m + loc, m_m, 1, m_ncorr).noalias() = Ss.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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 ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 41; int numGaussRows = 20; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:490:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 490 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 491 | QuadratureKronrod::abscissaeGaussKronrod81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 492 | QuadratureKronrod::weightsGaussKronrod81, QuadratureKronrod::weightsGauss81, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 493 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 46; int numGaussRows = 23; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:496:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 496 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 497 | QuadratureKronrod::abscissaeGaussKronrod91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 498 | QuadratureKronrod::weightsGaussKronrod91, QuadratureKronrod::weightsGauss91, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 499 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 51; int numGaussRows = 25; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:502:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 502 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 503 | QuadratureKronrod::abscissaeGaussKronrod101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | QuadratureKronrod::weightsGaussKronrod101, QuadratureKronrod::weightsGauss101, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 61; int numGaussRows = 30; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:508:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 508 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 509 | QuadratureKronrod::abscissaeGaussKronrod121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 510 | QuadratureKronrod::weightsGaussKronrod121, QuadratureKronrod::weightsGauss121, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 511 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> > >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; 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::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:579:85: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrodHelper(Eigen::Array, Eigen::Array, Eigen::Array, const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; int numKronrodRows = 101; int numGaussRows = 50; int alignment = 0; Scalar_ = double; Scalar = double]’ 579 | resultKronrod += ((f1Array + f2Array) * weightsGaussKronrod.head(size1)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:514:41: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureKronrod(const FunctionType&, Scalar, Scalar, Scalar&, Scalar&, Scalar&, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 514 | return quadratureKronrodHelper( | ~~~~~~~~~~~~~~~~~~~~~~~^ 515 | QuadratureKronrod::abscissaeGaussKronrod201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 516 | QuadratureKronrod::weightsGaussKronrod201, QuadratureKronrod::weightsGauss201, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | f, lowerLimit, upperLimit, estimatedError, absIntegral, absDiffIntegral, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/Integrator.h:116:44: required from ‘Numer::Integrator::Scalar Numer::Integrator::quadratureAdaptive(const FunctionType&, Scalar, Scalar, Scalar, Scalar, QuadratureRule) [with FunctionType = Numer::Func; Scalar_ = double; Scalar = double]’ 116 | Scalar integral = quadratureKronrod( | ~~~~~~~~~~~~~~~~~^ 117 | f, lowerLimit, upperLimit, m_estimatedError, absDiff, absResult, quadratureRule); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/integration/wrapper.h:83:46: required from here 83 | double res = intgr.quadratureAdaptive(f, lower, upper, eps_abs, eps_rel, rule); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Matrix, 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, 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::CwiseBinaryOp, const Eigen::Matrix, 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::CwiseBinaryOp, const Eigen::Matrix, 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:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 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::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:123:35: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 123 | Scalar dg = m_grad.dot(m_drt); | ~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; 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::Block, -1, 1, true> >; 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::Block, -1, 1, true> >; 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::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:90:43: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 90 | m_theta = m_y.col(loc).squaredNorm() / ys; | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true> >, 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, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true> >, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true> >, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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 ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h: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::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; 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::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; 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::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; 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::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; 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::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:87:43: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 87 | const Scalar ys = m_s.col(loc).dot(m_y.col(loc)); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:333:64: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’ 333 | MapVec(col_pointer(j + k + 1), ldim - j).noalias() -= (lptr[j] / akk) * l.tail(ldim - j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:416:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 416 | m_info = gaussian_elimination_1x1(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /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, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; 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, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:362:28: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ 362 | X.col(0).noalias() = l1 * e11 + l2 * e21; | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 420 | m_info = gaussian_elimination_2x2(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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>, -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, true>, -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::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 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::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 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 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:368:64: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ 368 | MapVec(col_pointer(j + k + 2), ldim - j).noalias() -= (X.col(0).tail(ldim - j) * l1ptr[j] + X.col(1).tail(ldim - j) * l2ptr[j]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 420 | m_info = gaussian_elimination_2x2(k); | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 142 | m_permMsolver.compute(m_permMinv); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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 ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; 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::Matrix; Derived = Eigen::Block, -1, 1, true>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:162:40: required from ‘void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]’ 162 | m_alpha[j] = m_s.col(j).dot(res) / m_ys[j]; | ~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:165:28: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 165 | m_bfgs.apply_Hv(m_grad, -Scalar(1), m_drt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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, -1, -1, true> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 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> >, 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> >, 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> >, 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> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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>, -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>, -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>, -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>, -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>, -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>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, 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, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /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::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; 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::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /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::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; 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::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /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::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; 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::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 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, true>, 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, 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/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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> >, 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> >, 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> >, 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> >, 1, -1, true> > >’ 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, true> >, 1, -1, true>, 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, true> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -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, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -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, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -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, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -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, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >’ 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, true> >, 1, -1, true> >, 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, true> >, 1, -1, true> > >’ 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, true> >, 1, -1, true> > >’ 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, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -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 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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>, -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>, -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, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -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, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -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, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -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, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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 ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; 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::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; 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::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; 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:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -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: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 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::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref >]’ 109 | Vector Ss = m_s.leftCols(m_ncorr).transpose() * m_s.col(loc); | ^~ /usr/local/lib/R/library/RcppNumerical/include/optimization/LBFGS.h:162:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = Numer::LBFGSFun; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]’ 162 | m_bfgs.add_correction(vecs, vecy); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppNumerical/include/optimization/wrapper.h:57:24: required from here 57 | solver.minimize(fun, xx, fx_opt); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /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 gbeta.so RcppExports.o euler.o -L/usr/lib64/R/lib -lR installing to /builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64/usr/local/lib/R/library/00LOCK-gbeta/00new/gbeta/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package ‘gbeta’ finding HTML links ... done GBeta html GBetaP html ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gbeta) + test -d gbeta/src + cd gbeta/src + rm -f RcppExports.o euler.o gbeta.so + rm -f /builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64/usr/local/lib/R/library/R.css + find /builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64@@g '{}' ';' + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 0.1.0-1.fc40.copr8100630 --unique-debug-suffix -0.1.0-1.fc40.copr8100630.x86_64 --unique-debug-src-base R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/gbeta 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-gbeta-0.1.0-1.fc40.copr8100630.x86_64 7 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-gbeta-0.1.0-1.fc40.copr8100630.x86_64 Provides: R-CRAN-gbeta = 0.1.0-1.fc40.copr8100630 R-CRAN-gbeta(x86-64) = 0.1.0-1.fc40.copr8100630 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_1.3.15)(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_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: R-CRAN-gbeta-debugsource-0.1.0-1.fc40.copr8100630.x86_64 Provides: R-CRAN-gbeta-debugsource = 0.1.0-1.fc40.copr8100630 R-CRAN-gbeta-debugsource(x86-64) = 0.1.0-1.fc40.copr8100630 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: R-CRAN-gbeta-debuginfo-0.1.0-1.fc40.copr8100630.x86_64 Provides: R-CRAN-gbeta-debuginfo = 0.1.0-1.fc40.copr8100630 R-CRAN-gbeta-debuginfo(x86-64) = 0.1.0-1.fc40.copr8100630 debuginfo(build-id) = 04b177d4ee18609759a74103b917b3f31ad9c398 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: R-CRAN-gbeta-debugsource(x86-64) = 0.1.0-1.fc40.copr8100630 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64 Wrote: /builddir/build/RPMS/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-gbeta-debugsource-0.1.0-1.fc40.copr8100630.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-gbeta-debuginfo-0.1.0-1.fc40.copr8100630.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.QLiyoo + umask 022 + cd /builddir/build/BUILD + cd gbeta + /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.x86_64 + RPM_EC=0 ++ jobs -p + exit 0 Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.FHvUdt + umask 022 + cd /builddir/build/BUILD + rm -rf /builddir/build/BUILD/gbeta-SPECPARTS + rm -rf gbeta gbeta.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-gbeta-0.1.0-1.fc40.copr8100630.src.rpm Finish: build phase for R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-40-x86_64-1727858934.500958/root/var/log/dnf5.log INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-gbeta-0.1.0-1.fc40.copr8100630.src.rpm) Config(child) 0 minutes 50 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-gbeta", "epoch": null, "version": "0.1.0", "release": "1.fc40.copr8100630", "arch": "x86_64" }, { "name": "R-CRAN-gbeta-debugsource", "epoch": null, "version": "0.1.0", "release": "1.fc40.copr8100630", "arch": "x86_64" }, { "name": "R-CRAN-gbeta", "epoch": null, "version": "0.1.0", "release": "1.fc40.copr8100630", "arch": "src" }, { "name": "R-CRAN-gbeta-debuginfo", "epoch": null, "version": "0.1.0", "release": "1.fc40.copr8100630", "arch": "x86_64" } ] } RPMResults finished