From 78e2dfb02c07fbc316222c39ec3ef024b57eda46 Mon Sep 17 00:00:00 2001 From: David Schoch Date: Thu, 5 Mar 2026 11:21:55 +0100 Subject: [PATCH] chore: remove `console()` and `tkplot()` MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Kirill Müller --- R/console.R | 4 + R/tkplot.R | 1 + revdep/README.md | 17 +- revdep/cran.md | 23 +- revdep/failures.md | 2038 +++++++++++++++++++++++++++++++++++++++++++- revdep/problems.md | 216 ++++- 6 files changed, 2254 insertions(+), 45 deletions(-) diff --git a/R/console.R b/R/console.R index 71defc045a7..e155e79c6c1 100644 --- a/R/console.R +++ b/R/console.R @@ -58,6 +58,10 @@ igraph.console <- function() { #' @family console #' @export console <- function() { + lifecycle::deprecate_stop( + "3.0.0", + "console()", + ) oldverb <- igraph_opt("verbose") igraph_options(verbose = "tkconsole") pb <- .igraph.progress.tkconsole.create(oldverb) diff --git a/R/tkplot.R b/R/tkplot.R index 0e39ec364a8..b0551d0fcd1 100644 --- a/R/tkplot.R +++ b/R/tkplot.R @@ -326,6 +326,7 @@ assign(".next", 1, .tkplot.env) #' tkplot <- function(graph, canvas.width = 450, canvas.height = 450, ...) { # nocov start + lifecycle::deprecate_stop("3.0.0", "tkplot()") ensure_igraph(graph) # Libraries diff --git a/revdep/README.md b/revdep/README.md index 2cbd0be4e0a..fc0006c742c 100644 --- a/revdep/README.md +++ b/revdep/README.md @@ -1,21 +1,26 @@ # Revdeps -## Failed to check (3) +## Failed to check (4) |package |version |error |warning |note | |:-----------|:-------|:-----|:-------|:----| -|caugi |1.0.0 |1 | | | +|blavaan |0.5-10 |1 | | | +|caugi |1.1.0 |1 | | | |ClustAssess |? | | | | |streamDAG |? | | | | -## New problems (6) +## New problems (10) -|package |version |error |warning |note | -|:----------|:--------|:------|:-------|:----| +|package |version |error |warning |note | +|:-----------|:--------|:------|:-------|:----| +|[Boptbd](problems.md#boptbd)|1.0.7 |__+1__ | | | +|[c3net](problems.md#c3net)|1.1.1.1 |__+1__ | | | |[Cascade](problems.md#cascade)|2.3 | |__+1__ | | |[DiagrammeR](problems.md#diagrammer)|1.0.11 |__+2__ | | | +|[ggm](problems.md#ggm)|2.5.2 |__+1__ | | | |[jewel](problems.md#jewel)|2.0.2 |__+1__ | | | -|[manynet](problems.md#manynet)|1.7.0 |__+1__ | | | +|[optbdmaeAT](problems.md#optbdmaeat)|1.0.2 |__+1__ | | | +|[optrcdmaeAT](problems.md#optrcdmaeat)|1.0.1 |__+1__ | | | |[rSpectral](problems.md#rspectral)|1.0.0.14 |__+1__ | | | |[sfnetworks](problems.md#sfnetworks)|0.6.5 |__+1__ | | | diff --git a/revdep/cran.md b/revdep/cran.md index 43fa6123212..bf6b0885b0d 100644 --- a/revdep/cran.md +++ b/revdep/cran.md @@ -1,15 +1,21 @@ ## revdepcheck results -We checked 2210 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package. +We checked 2264 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package. - * We saw 6 new problems - * We failed to check 3 packages + * We saw 10 new problems + * We failed to check 4 packages Issues with CRAN packages are summarised below. ### New problems (This reports the first line of each new failure) +* Boptbd + checking examples ... ERROR + +* c3net + checking examples ... ERROR + * Cascade checking whether package ‘Cascade’ can be installed ... WARNING @@ -17,11 +23,17 @@ Issues with CRAN packages are summarised below. checking examples ... ERROR checking tests ... ERROR +* ggm + checking examples ... ERROR + * jewel checking examples ... ERROR -* manynet - checking tests ... ERROR +* optbdmaeAT + checking examples ... ERROR + +* optrcdmaeAT + checking examples ... ERROR * rSpectral checking tests ... ERROR @@ -31,6 +43,7 @@ Issues with CRAN packages are summarised below. ### Failed to check +* blavaan (NA) * caugi (NA) * ClustAssess (NA) * streamDAG (NA) diff --git a/revdep/failures.md b/revdep/failures.md index c71008bc42f..c40b73f2adb 100644 --- a/revdep/failures.md +++ b/revdep/failures.md @@ -1,4 +1,2036 @@ -# caugi (1.0.0) +# blavaan (0.5-10) + +* GitHub: +* Email: +* GitHub mirror: + +Run `revdepcheck::cloud_details(, "blavaan")` for more info + +## In both + +* checking whether package ‘blavaan’ can be installed ... ERROR + ``` + Installation failed. + See ‘/tmp/workdir/blavaan/new/blavaan.Rcheck/00install.out’ for details. + ``` + +## Installation + +### Devel + +``` +* installing *source* package ‘blavaan’ ... +** this is package ‘blavaan’ version ‘0.5-10’ +** package ‘blavaan’ successfully unpacked and MD5 sums checked +** using staged installation +** libs +using C++ compiler: ‘g++ (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0’ +using C++17 + + +g++ -std=gnu++17 -I"/opt/R/4.5.1/lib/R/include" -DNDEBUG -I"../inst/include" -I"/tmp/r-deps/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/r-deps/StanHeaders/include' -I'/tmp/r-deps/rstan/include' -I'/tmp/r-deps/BH/include' -I'/tmp/r-deps/Rcpp/include' -I'/tmp/r-deps/RcppEigen/include' -I'/tmp/r-deps/RcppParallel/include' -I/usr/local/include -I'/tmp/r-deps/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -c RcppExports.cpp -o RcppExports.o +In file included from /tmp/r-deps/RcppEigen/include/Eigen/Core:205, + from /tmp/r-deps/RcppEigen/include/Eigen/Dense:1, + from /tmp/r-deps/RcppEigen/include/RcppEigenForward.h:28, + from /tmp/r-deps/RcppEigen/include/RcppEigen.h:25, + from RcppExports.cpp:4: +/tmp/r-deps/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; + | ^ +/tmp/r-deps/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; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 { + | ^ +/tmp/r-deps/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 { + | ^ +/tmp/r-deps/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) { + | ^ +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:174: +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:165: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here +/tmp/r-deps/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> + | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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> + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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] +/tmp/r-deps/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] +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:271: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here +/tmp/r-deps/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> + | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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> + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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] +/tmp/r-deps/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] +/tmp/r-deps/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; + | ^~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/SparseCore:37, + from /tmp/r-deps/RcppEigen/include/Eigen/Sparse:26, + from /tmp/r-deps/RcppEigen/include/RcppEigenForward.h:29: +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ +/tmp/r-deps/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here +/tmp/r-deps/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"/opt/R/4.5.1/lib/R/include" -DNDEBUG -I"../inst/include" -I"/tmp/r-deps/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/r-deps/StanHeaders/include' -I'/tmp/r-deps/rstan/include' -I'/tmp/r-deps/BH/include' -I'/tmp/r-deps/Rcpp/include' -I'/tmp/r-deps/RcppEigen/include' -I'/tmp/r-deps/RcppParallel/include' -I/usr/local/include -I'/tmp/r-deps/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -c stanExports_stanmarg.cc -o stanExports_stanmarg.o +In file included from /tmp/r-deps/RcppEigen/include/Eigen/Core:205, + from /tmp/r-deps/RcppEigen/include/Eigen/Dense:1, + from /tmp/r-deps/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:32, + from /tmp/r-deps/rstan/include/rstan/rstaninc.hpp:3, + from stanExports_stanmarg.h:23, + from stanExports_stanmarg.cc:5: +/tmp/r-deps/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; + | ^ +/tmp/r-deps/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; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 { + | ^ +/tmp/r-deps/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 { + | ^ +/tmp/r-deps/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) { + | ^ +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:174: +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:165: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here +/tmp/r-deps/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> + | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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> + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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] +/tmp/r-deps/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] +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:271: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here +/tmp/r-deps/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> + | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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> + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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] +/tmp/r-deps/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] +/tmp/r-deps/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; + | ^~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here +/tmp/r-deps/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 /tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:17, + from /tmp/r-deps/BH/include/boost/shared_ptr.hpp:17, + from /tmp/r-deps/BH/include/boost/date_time/time_clock.hpp:17, + from /tmp/r-deps/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /tmp/r-deps/rstan/include/rstan/stan_fit.hpp:15, + from /tmp/r-deps/rstan/include/rstan/rstaninc.hpp:4: +/tmp/r-deps/BH/include/boost/smart_ptr/detail/shared_count.hpp:294:33: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 294 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) + | ^~~~~~~~ +In file included from /usr/include/c++/13/memory:78, + from /tmp/r-deps/rstan/include/rstan/stan_fit.hpp:7: +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:354:31: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 354 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() + | ^~~~~~~~ +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:365:22: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 365 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() + | ^~~~~~~~ +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:423:34: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 423 | shared_ptr & operator=( std::auto_ptr & r ) + | ^~~~~~~~ +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:430:34: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 430 | shared_ptr & operator=( std::auto_ptr && r ) + | ^~~~~~~~ +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)’: +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:432:38: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 432 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); + | ^~~~~~~~ +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:82:22: required from here +/tmp/r-deps/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> + | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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> + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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] +/tmp/r-deps/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] +/tmp/r-deps/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; + | ^~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:82:22: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:82:32: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:93:22: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:93:32: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:105:22: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +In file included from /tmp/r-deps/RcppEigen/include/Eigen/SparseCore:37, + from /tmp/r-deps/RcppEigen/include/Eigen/Sparse:26, + from /tmp/r-deps/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:33: +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ +/tmp/r-deps/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/generate_laplace_options.hpp:28:47: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int>(Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int)::, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int>(Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int)::, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int>(Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int)::, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int>(Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int)::, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int>(Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int)::, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/select.hpp:146:17: required from ‘auto stan::math::select(T_bool, T_true, T_false) [with T_bool = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >; T_true = int; T_false = int; stan::require_eigen_array_vt* = 0; stan::require_all_stan_scalar_t* = 0]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/grad_pFq.hpp:130:35: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/select.hpp:149:12: required from ‘auto stan::math::select(T_bool, T_true, T_false) [with T_bool = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >; T_true = int; T_false = int; stan::require_eigen_array_vt* = 0; stan::require_all_stan_scalar_t* = 0]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/grad_pFq.hpp:130:35: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >::CastXpr’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >::CastXpr::Type Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >::cast() const [with NewType = double]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/select.hpp:171:56: required from ‘auto stan::math::select(T_bool, T_true, T_false) [with T_bool = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; T_true = int; T_false = Eigen::Array; stan::require_eigen_array_t* = 0; stan::require_any_eigen_array_t* = 0]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/grad_pFq.hpp:172:24: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/ceil.hpp:63:72: required from ‘stan::math::ceil&>(Eigen::Matrix&):: [with auto:263 = Eigen::Matrix&]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::ceil&>(Eigen::Matrix&)::; T2 = Eigen::Matrix&; stan::require_t::type, void>::type> >* = 0; T = Eigen::Matrix&]’ +... +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/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::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ +stanExports_stanmarg.h:20086:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:27769:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; std::ostream = std::basic_ostream]’ +/tmp/r-deps/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::mixmax_engine<17, 36, 0>; SEXP = SEXPREC*]’ +stanExports_stanmarg.cc:26:0: required from here +/tmp/r-deps/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, + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/tmp/r-deps/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> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 1; Eigen::Index = long int]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/StanHeaders/include/src/stan/model/indexing/assign.hpp:447:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const stan::math::Holder, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, index_multi, index_multi>, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ +stanExports_stanmarg.h:5156:0: required from ‘Eigen::Matrix::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T1__ = std::vector; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_std_vector, std::is_integral::type>::type>, std::is_integral::type>, std::is_integral::type>, stan::math::disjunction, std::is_floating_point::type> > >* = 0; typename stan::return_type::type, T4__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:20667:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:27769:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; std::ostream = std::basic_ostream]’ +/tmp/r-deps/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::mixmax_engine<17, 36, 0>; SEXP = SEXPREC*]’ +stanExports_stanmarg.cc:26:0: required from here +/tmp/r-deps/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); + | ^~~~~~~~~ +/tmp/r-deps/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: +/tmp/r-deps/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ +/tmp/r-deps/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/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, + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ +/tmp/r-deps/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>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: +/tmp/r-deps/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>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ +/tmp/r-deps/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>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/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>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ +/tmp/r-deps/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, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ +/tmp/r-deps/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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/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::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ +stanExports_stanmarg.h:20086:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:27769:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; std::ostream = std::basic_ostream]’ +/tmp/r-deps/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::mixmax_engine<17, 36, 0>; SEXP = SEXPREC*]’ +stanExports_stanmarg.cc:26:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 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]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_std_vector_t* = 0; stan::math::require_all_not_tuple_t* = 0]’ +stanExports_stanmarg.h:4030:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector >; T1__ = std::vector >; T2__ = Eigen::Matrix; T3__ = std::vector >; T4__ = std::vector; T5__ = std::vector; T6__ = std::vector; T7__ = int; T8__ = std::vector; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; T13__ = std::vector; T14__ = std::vector; T15__ = std::vector; T16__ = std::vector; T17__ = std::vector; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t, stan::is_col_vector::type>, stan::is_vt_not_complex::type>, stan::is_std_vector, stan::is_eigen_matrix_dynamic::type>, stan::is_vt_not_complex::type>, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_std_vector, stan::is_col_vector::type>, stan::is_vt_not_complex::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, std::is_integral::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, std::is_integral::type>, std::is_integral::type>, std::is_integral::type>, std::is_integral::type> >* = 0; typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:22731:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:27769:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; std::ostream = std::basic_ostream]’ +/tmp/r-deps/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::mixmax_engine<17, 36, 0>; SEXP = SEXPREC*]’ +stanExports_stanmarg.cc:26:0: required from here +/tmp/r-deps/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); + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 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]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_std_vector_t* = 0; stan::math::require_all_not_tuple_t* = 0]’ +stanExports_stanmarg.h:4030:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector >; T1__ = std::vector >; T2__ = Eigen::Matrix; T3__ = std::vector >; T4__ = std::vector; T5__ = std::vector; T6__ = std::vector; T7__ = int; T8__ = std::vector; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; T13__ = std::vector; T14__ = std::vector; T15__ = std::vector; T16__ = std::vector; T17__ = std::vector; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t, stan::is_col_vector::type>, stan::is_vt_not_complex::type>, stan::is_std_vector, stan::is_eigen_matrix_dynamic::type>, stan::is_vt_not_complex::type>, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_std_vector, stan::is_col_vector::type>, stan::is_vt_not_complex::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, std::is_integral::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, std::is_integral::type>, std::is_integral::type>, std::is_integral::type>, std::is_integral::type> >* = 0; typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:22731:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:27769:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; std::ostream = std::basic_ostream]’ +/tmp/r-deps/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::mixmax_engine<17, 36, 0>; SEXP = SEXPREC*]’ +stanExports_stanmarg.cc:26:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ +/tmp/r-deps/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, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ +/tmp/r-deps/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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/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, + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ +/tmp/r-deps/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 >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ +/tmp/r-deps/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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/sum.hpp:33:18: required from ‘stan::math::sum > >(const std::vector, arena_allocator > >&):: mutable [with auto:651 = stan::math::internal::callback_vari > >(const std::vector, arena_allocator > >&):: >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from ‘void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/trace.hpp:29:0: required from ‘stan::math::trace, -1, -1, 0, -1, -1> >(const Eigen::Matrix, -1, -1, 0, -1, -1>&):: mutable [with auto:860 = stan::math::internal::callback_vari, -1, -1, 0, -1, -1> >(const Eigen::Matrix, -1, -1, 0, -1, -1>&):: >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from ‘void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::trace, -1, -1, 0, -1, -1> >(const Eigen::Matrix, -1, -1, 0, -1, -1>&)::]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:89:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:0: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix, Rb, Cb>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:0: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: +/tmp/r-deps/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0: required from here +/tmp/r-deps/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); + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:0: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:0: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix, Rb, Cb>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:0: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/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, + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 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]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/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); + | ^~~~~~~~~ +stanExports_stanmarg.h: In constructor ‘model_stanmarg_namespace::model_stanmarg::model_stanmarg(stan::io::var_context&, unsigned int, std::ostream*)’: +stanExports_stanmarg.h:6707: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without + 6707 | model_stanmarg(stan::io::var_context& context__, unsigned int + | +g++: fatal error: Killed signal terminated program cc1plus +compilation terminated. +make: *** [/opt/R/4.5.1/lib/R/etc/Makeconf:209: stanExports_stanmarg.o] Error 1 +ERROR: compilation failed for package ‘blavaan’ +* removing ‘/tmp/workdir/blavaan/new/blavaan.Rcheck/blavaan’ + + +``` +### CRAN + +``` +* installing *source* package ‘blavaan’ ... +** this is package ‘blavaan’ version ‘0.5-10’ +** package ‘blavaan’ successfully unpacked and MD5 sums checked +** using staged installation +** libs +using C++ compiler: ‘g++ (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0’ +using C++17 + + +g++ -std=gnu++17 -I"/opt/R/4.5.1/lib/R/include" -DNDEBUG -I"../inst/include" -I"/tmp/r-deps/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/r-deps/StanHeaders/include' -I'/tmp/r-deps/rstan/include' -I'/tmp/r-deps/BH/include' -I'/tmp/r-deps/Rcpp/include' -I'/tmp/r-deps/RcppEigen/include' -I'/tmp/r-deps/RcppParallel/include' -I/usr/local/include -I'/tmp/r-deps/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -c RcppExports.cpp -o RcppExports.o +In file included from /tmp/r-deps/RcppEigen/include/Eigen/Core:205, + from /tmp/r-deps/RcppEigen/include/Eigen/Dense:1, + from /tmp/r-deps/RcppEigen/include/RcppEigenForward.h:28, + from /tmp/r-deps/RcppEigen/include/RcppEigen.h:25, + from RcppExports.cpp:4: +/tmp/r-deps/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; + | ^ +/tmp/r-deps/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; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 { + | ^ +/tmp/r-deps/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 { + | ^ +/tmp/r-deps/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) { + | ^ +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:174: +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:165: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here +/tmp/r-deps/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> + | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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> + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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] +/tmp/r-deps/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] +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:271: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here +/tmp/r-deps/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> + | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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> + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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] +/tmp/r-deps/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] +/tmp/r-deps/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; + | ^~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/SparseCore:37, + from /tmp/r-deps/RcppEigen/include/Eigen/Sparse:26, + from /tmp/r-deps/RcppEigen/include/RcppEigenForward.h:29: +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ +/tmp/r-deps/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here +/tmp/r-deps/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"/opt/R/4.5.1/lib/R/include" -DNDEBUG -I"../inst/include" -I"/tmp/r-deps/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/r-deps/StanHeaders/include' -I'/tmp/r-deps/rstan/include' -I'/tmp/r-deps/BH/include' -I'/tmp/r-deps/Rcpp/include' -I'/tmp/r-deps/RcppEigen/include' -I'/tmp/r-deps/RcppParallel/include' -I/usr/local/include -I'/tmp/r-deps/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -c stanExports_stanmarg.cc -o stanExports_stanmarg.o +In file included from /tmp/r-deps/RcppEigen/include/Eigen/Core:205, + from /tmp/r-deps/RcppEigen/include/Eigen/Dense:1, + from /tmp/r-deps/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:32, + from /tmp/r-deps/rstan/include/rstan/rstaninc.hpp:3, + from stanExports_stanmarg.h:23, + from stanExports_stanmarg.cc:5: +/tmp/r-deps/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; + | ^ +/tmp/r-deps/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; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 }; }; + | ^ +/tmp/r-deps/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 { + | ^ +/tmp/r-deps/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 { + | ^ +/tmp/r-deps/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) { + | ^ +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:174: +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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) + | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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 { \ + | ^ +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:165: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here +/tmp/r-deps/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> + | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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> + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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] +/tmp/r-deps/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] +/tmp/r-deps/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 /tmp/r-deps/RcppEigen/include/Eigen/Core:271: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here +/tmp/r-deps/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> + | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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> + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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] +/tmp/r-deps/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] +/tmp/r-deps/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; + | ^~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here +/tmp/r-deps/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 /tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:17, + from /tmp/r-deps/BH/include/boost/shared_ptr.hpp:17, + from /tmp/r-deps/BH/include/boost/date_time/time_clock.hpp:17, + from /tmp/r-deps/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /tmp/r-deps/rstan/include/rstan/stan_fit.hpp:15, + from /tmp/r-deps/rstan/include/rstan/rstaninc.hpp:4: +/tmp/r-deps/BH/include/boost/smart_ptr/detail/shared_count.hpp:294:33: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 294 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) + | ^~~~~~~~ +In file included from /usr/include/c++/13/memory:78, + from /tmp/r-deps/rstan/include/rstan/stan_fit.hpp:7: +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:354:31: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 354 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() + | ^~~~~~~~ +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:365:22: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 365 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() + | ^~~~~~~~ +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:423:34: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 423 | shared_ptr & operator=( std::auto_ptr & r ) + | ^~~~~~~~ +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:430:34: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 430 | shared_ptr & operator=( std::auto_ptr && r ) + | ^~~~~~~~ +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)’: +/tmp/r-deps/BH/include/boost/smart_ptr/shared_ptr.hpp:432:38: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] + 432 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); + | ^~~~~~~~ +/usr/include/c++/13/bits/unique_ptr.h:65:28: note: declared here + 65 | template class auto_ptr; + | ^~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:82:22: required from here +/tmp/r-deps/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> + | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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> + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/tmp/r-deps/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] +/tmp/r-deps/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] +/tmp/r-deps/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; + | ^~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:82:22: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:82:32: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:93:22: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:93:32: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/tmp/r-deps/StanHeaders/include/src/stan/callbacks/stream_writer.hpp:105:22: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +In file included from /tmp/r-deps/RcppEigen/include/Eigen/SparseCore:37, + from /tmp/r-deps/RcppEigen/include/Eigen/Sparse:26, + from /tmp/r-deps/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:33: +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ +/tmp/r-deps/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/generate_laplace_options.hpp:28:47: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int>(Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int)::, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int>(Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int)::, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int>(Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int)::, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int>(Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int)::, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int>(Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, int, int)::, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/select.hpp:146:17: required from ‘auto stan::math::select(T_bool, T_true, T_false) [with T_bool = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >; T_true = int; T_false = int; stan::require_eigen_array_vt* = 0; stan::require_all_stan_scalar_t* = 0]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/grad_pFq.hpp:130:35: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/select.hpp:149:12: required from ‘auto stan::math::select(T_bool, T_true, T_false) [with T_bool = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >; T_true = int; T_false = int; stan::require_eigen_array_vt* = 0; stan::require_all_stan_scalar_t* = 0]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/grad_pFq.hpp:130:35: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >::CastXpr’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >::CastXpr::Type Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >::cast() const [with NewType = double]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/select.hpp:171:56: required from ‘auto stan::math::select(T_bool, T_true, T_false) [with T_bool = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; T_true = int; T_false = Eigen::Array; stan::require_eigen_array_t* = 0; stan::require_any_eigen_array_t* = 0]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/grad_pFq.hpp:172:24: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/ceil.hpp:63:72: required from ‘stan::math::ceil&>(Eigen::Matrix&):: [with auto:263 = Eigen::Matrix&]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:44: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(T2&&, F&&) [with F = stan::math::ceil&>(Eigen::Matrix&)::; T2 = Eigen::Matrix&; stan::require_t::type, void>::type> >* = 0; T = Eigen::Matrix&]’ +... +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/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::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ +stanExports_stanmarg.h:20086:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:27769:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; std::ostream = std::basic_ostream]’ +/tmp/r-deps/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::mixmax_engine<17, 36, 0>; SEXP = SEXPREC*]’ +stanExports_stanmarg.cc:26:0: required from here +/tmp/r-deps/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, + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/tmp/r-deps/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> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 1; Eigen::Index = long int]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/StanHeaders/include/src/stan/model/indexing/assign.hpp:447:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const stan::math::Holder, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, index_multi, index_multi>, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ +stanExports_stanmarg.h:5156:0: required from ‘Eigen::Matrix::type, T4__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T1__ = std::vector; T2__ = int; T3__ = int; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_std_vector, std::is_integral::type>::type>, std::is_integral::type>, std::is_integral::type>, stan::math::disjunction, std::is_floating_point::type> > >* = 0; typename stan::return_type::type, T4__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:20667:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:27769:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; std::ostream = std::basic_ostream]’ +/tmp/r-deps/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::mixmax_engine<17, 36, 0>; SEXP = SEXPREC*]’ +stanExports_stanmarg.cc:26:0: required from here +/tmp/r-deps/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); + | ^~~~~~~~~ +/tmp/r-deps/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: +/tmp/r-deps/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ +/tmp/r-deps/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/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, + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ +/tmp/r-deps/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>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: +/tmp/r-deps/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>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ +/tmp/r-deps/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>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/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>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ +/tmp/r-deps/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, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ +/tmp/r-deps/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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/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::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ +stanExports_stanmarg.h:20086:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:27769:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; std::ostream = std::basic_ostream]’ +/tmp/r-deps/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::mixmax_engine<17, 36, 0>; SEXP = SEXPREC*]’ +stanExports_stanmarg.cc:26:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 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]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_std_vector_t* = 0; stan::math::require_all_not_tuple_t* = 0]’ +stanExports_stanmarg.h:4030:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector >; T1__ = std::vector >; T2__ = Eigen::Matrix; T3__ = std::vector >; T4__ = std::vector; T5__ = std::vector; T6__ = std::vector; T7__ = int; T8__ = std::vector; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; T13__ = std::vector; T14__ = std::vector; T15__ = std::vector; T16__ = std::vector; T17__ = std::vector; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t, stan::is_col_vector::type>, stan::is_vt_not_complex::type>, stan::is_std_vector, stan::is_eigen_matrix_dynamic::type>, stan::is_vt_not_complex::type>, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_std_vector, stan::is_col_vector::type>, stan::is_vt_not_complex::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, std::is_integral::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, std::is_integral::type>, std::is_integral::type>, std::is_integral::type>, std::is_integral::type> >* = 0; typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:22731:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:27769:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; std::ostream = std::basic_ostream]’ +/tmp/r-deps/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::mixmax_engine<17, 36, 0>; SEXP = SEXPREC*]’ +stanExports_stanmarg.cc:26:0: required from here +/tmp/r-deps/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); + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 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]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/StanHeaders/include/src/stan/model/indexing/assign.hpp:65:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_std_vector_t* = 0; stan::math::require_all_not_tuple_t* = 0]’ +stanExports_stanmarg.h:4030:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const T0__&, const T1__&, const T2__&, const T3__&, const T4__&, const T5__&, const T6__&, const T7__&, const T8__&, const T9__&, const T10__&, const T11__&, const T12__&, const T13__&, const T14__&, const T15__&, const T16__&, const T17__&, const T18__&, const T19__&, const T20__&, const T21__&, std::ostream*) [with T0__ = std::vector >; T1__ = std::vector >; T2__ = Eigen::Matrix; T3__ = std::vector >; T4__ = std::vector; T5__ = std::vector; T6__ = std::vector; T7__ = int; T8__ = std::vector; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; T13__ = std::vector; T14__ = std::vector; T15__ = std::vector; T16__ = std::vector; T17__ = std::vector; T18__ = int; T19__ = int; T20__ = int; T21__ = int; stan::require_all_t, stan::is_col_vector::type>, stan::is_vt_not_complex::type>, stan::is_std_vector, stan::is_eigen_matrix_dynamic::type>, stan::is_vt_not_complex::type>, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_std_vector, stan::is_col_vector::type>, stan::is_vt_not_complex::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, std::is_integral::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, stan::is_std_vector, std::is_integral::type>::type>, std::is_integral::type>, std::is_integral::type>, std::is_integral::type>, std::is_integral::type> >* = 0; typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::return_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:22731:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ +stanExports_stanmarg.h:27769:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::mixmax_engine<17, 36, 0>; std::ostream = std::basic_ostream]’ +/tmp/r-deps/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::mixmax_engine<17, 36, 0>; SEXP = SEXPREC*]’ +stanExports_stanmarg.cc:26:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ +/tmp/r-deps/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, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ +/tmp/r-deps/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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/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, + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ +/tmp/r-deps/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 >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ +/tmp/r-deps/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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/tmp/r-deps/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/sum.hpp:33:18: required from ‘stan::math::sum > >(const std::vector, arena_allocator > >&):: mutable [with auto:651 = stan::math::internal::callback_vari > >(const std::vector, arena_allocator > >&):: >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from ‘void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/trace.hpp:29:0: required from ‘stan::math::trace, -1, -1, 0, -1, -1> >(const Eigen::Matrix, -1, -1, 0, -1, -1>&):: mutable [with auto:860 = stan::math::internal::callback_vari, -1, -1, 0, -1, -1> >(const Eigen::Matrix, -1, -1, 0, -1, -1>&):: >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from ‘void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::trace, -1, -1, 0, -1, -1> >(const Eigen::Matrix, -1, -1, 0, -1, -1>&)::]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:89:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:0: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix, Rb, Cb>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:0: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: +/tmp/r-deps/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0: required from here +/tmp/r-deps/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); + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:0: required from here +/tmp/r-deps/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; + | ^~~~~~~~~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:63:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView, -1, -1, 0, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1, 0, -1, -1> >]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:0: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix, Rb, Cb>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:0: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ +/tmp/r-deps/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’: +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/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, + | ^~~~~~~~~ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ +/tmp/r-deps/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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 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]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/tmp/r-deps/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::mixmax_engine<17, 36, 0>]’ +/tmp/r-deps/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here +/tmp/r-deps/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); + | ^~~~~~~~~ +stanExports_stanmarg.h: In constructor ‘model_stanmarg_namespace::model_stanmarg::model_stanmarg(stan::io::var_context&, unsigned int, std::ostream*)’: +stanExports_stanmarg.h:6707: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without + 6707 | model_stanmarg(stan::io::var_context& context__, unsigned int + | +g++: fatal error: Killed signal terminated program cc1plus +compilation terminated. +make: *** [/opt/R/4.5.1/lib/R/etc/Makeconf:209: stanExports_stanmarg.o] Error 1 +ERROR: compilation failed for package ‘blavaan’ +* removing ‘/tmp/workdir/blavaan/old/blavaan.Rcheck/blavaan’ + + +``` +# caugi (1.1.0) * GitHub: * Email: @@ -20,7 +2052,7 @@ Run `revdepcheck::cloud_details(, "caugi")` for more info ``` * installing *source* package ‘caugi’ ... -** this is package ‘caugi’ version ‘1.0.0’ +** this is package ‘caugi’ version ‘1.1.0’ ** package ‘caugi’ successfully unpacked and MD5 sums checked ** using staged installation Error in eval(ei, envir) : @@ -39,7 +2071,7 @@ ERROR: configuration failed for package ‘caugi’ ``` * installing *source* package ‘caugi’ ... -** this is package ‘caugi’ version ‘1.0.0’ +** this is package ‘caugi’ version ‘1.1.0’ ** package ‘caugi’ successfully unpacked and MD5 sums checked ** using staged installation Error in eval(ei, envir) : diff --git a/revdep/problems.md b/revdep/problems.md index 080d122a571..87cd1e8b77c 100644 --- a/revdep/problems.md +++ b/revdep/problems.md @@ -1,3 +1,80 @@ +# Boptbd (1.0.7) + +* Email: +* GitHub mirror: + +Run `revdepcheck::cloud_details(, "Boptbd")` for more info + +## Newly broken + +* checking examples ... ERROR + ``` + ... + > ### Title: Creates the graphical layout of resultant optimal design + > ### Aliases: graphoptBbd + > ### Keywords: Graphical layout + > + > ### ** Examples + > + > ##To create the graphical layout of the D-optimal block design + > ##obtained using the treatment exchange algorithm for + > trt.N <- 10 #Number of treatments + > blk.N <- 10 #Number of blocks + > alpha <- 0.1 #alpha value + > beta <- 0.1 #beta value + > OptdesF <- rbind(1:10, c(2:10,1)) #Bayesian A-optimal block design (loop design) + > + > graphoptBbd(trt.N = 10, blk.N = 10, alpha = 0.1, beta = 0.1, OptdesF, Optcrit = "A") + Error: + ! `tkplot()` was deprecated in igraph 3.0.0 and is now defunct. + Backtrace: + ▆ + 1. └─Boptbd::graphoptBbd(...) + 2. └─igraph::tkplot(...) + 3. └─lifecycle::deprecate_stop("3.0.0", "tkplot()") + 4. └─lifecycle:::deprecate_stop0(msg) + 5. └─rlang::cnd_signal(...) + Execution halted + ``` + +# c3net (1.1.1.1) + +* Email: +* GitHub mirror: + +Run `revdepcheck::cloud_details(, "c3net")` for more info + +## Newly broken + +* checking examples ... ERROR + ``` + Running examples in ‘c3net-Ex.R’ failed + The error most likely occurred in: + + > ### Name: c3net + > ### Title: All in one function to infer network with C3NET + > ### Aliases: c3net + > ### Keywords: misc + > + > ### ** Examples + > + > data(expdata) + > data(truenet) + > + > net <- c3net(expdata, network=TRUE) + Error: + ! `tkplot()` was deprecated in igraph 3.0.0 and is now defunct. + Backtrace: + ▆ + 1. └─c3net::c3net(expdata, network = TRUE) + 2. └─c3net::netplot(net) + 3. └─igraph::tkplot(z) + 4. └─lifecycle::deprecate_stop("3.0.0", "tkplot()") + 5. └─lifecycle:::deprecate_stop0(msg) + 6. └─rlang::cnd_signal(...) + Execution halted + ``` + # Cascade (2.3) * GitHub: @@ -85,6 +162,45 @@ Run `revdepcheck::cloud_details(, "DiagrammeR")` for more info Execution halted ``` +# ggm (2.5.2) + +* Email: +* GitHub mirror: + +Run `revdepcheck::cloud_details(, "ggm")` for more info + +## Newly broken + +* checking examples ... ERROR + ``` + ... + + 0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0, + + 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, + + 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, + + 0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0, + + 0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0, + + 0,0,0,0,1,0,1,0,1,1,0,0,0,0,0,0, + + 1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, + + 0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0, + + 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, + + 1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0, + + 0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0),16,16,byrow=TRUE) + > M <- c(3,5,6,15,16) + > C <- c(4,7) + > AG(ex, M, C, plot = TRUE) + Error: + ! `tkplot()` was deprecated in igraph 3.0.0 and is now defunct. + Backtrace: + ▆ + 1. └─ggm::AG(ex, M, C, plot = TRUE) + 2. └─ggm (local) plotfun(fr, ...) + 3. └─igraph::tkplot(...) + 4. └─lifecycle::deprecate_stop("3.0.0", "tkplot()") + 5. └─lifecycle:::deprecate_stop0(msg) + 6. └─rlang::cnd_signal(...) + Execution halted + ``` + # jewel (2.0.2) * GitHub: @@ -125,44 +241,82 @@ Run `revdepcheck::cloud_details(, "jewel")` for more info Execution halted ``` -# manynet (1.7.0) +# optbdmaeAT (1.0.2) -* GitHub: -* Email: -* GitHub mirror: +* Email: +* GitHub mirror: -Run `revdepcheck::cloud_details(, "manynet")` for more info +Run `revdepcheck::cloud_details(, "optbdmaeAT")` for more info ## Newly broken -* checking tests ... ERROR +* checking examples ... ERROR ``` ... - > test-member_community.R: v `node_in_walktrap()` returns the highest modularity (0.826). - > test-member_community.R: ========>---------------------- 25% | ETA: 37s - [ FAIL 1 | WARN 0 | SKIP 5 | PASS 695 ] - - ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ - • On CRAN (5): 'test-manip_as.R:93:3', 'test-manip_split.R:49:3', - 'test-mark_nodes.R:85:3', 'test-mark_ties.R:41:3', 'test-mark_ties.R:50:3' - - ══ Failed tests ════════════════════════════════════════════════════════════════ - ── Error ('test-make_generate.R:45:3'): generate_citations works ─────────────── - Error in `lastcit_game_impl(nodes = n, edges_per_node = edges, agebins = agebins, preference = pref, directed = directed)`: Expecting a scalar integer but received a vector of length 2. Invalid value - Source: rinterface_extra.c:79 - Backtrace: - ▆ - 1. ├─testthat::expect_s3_class(...) at test-make_generate.R:45:3 - 2. │ └─testthat::quasi_label(enquo(object)) - 3. │ └─rlang::eval_bare(expr, quo_get_env(quo)) - 4. └─manynet::generate_citations(ison_southern_women) - 5. └─igraph::sample_last_cit(n, edges = ties, agebins = agebins, directed = directed) - 6. └─igraph:::lastcit_game_impl(...) - - [ FAIL 1 | WARN 0 | SKIP 5 | PASS 695 ] - Error: - ! Test failures. - Execution halted + > ### Name: graphoptbd.mae + > ### Title: Creates the graphical layout of resultant optimal design + > ### Aliases: graphoptbd.mae + > ### Keywords: Graphical layout + > + > ### ** Examples + > + > ##To create the graphical layout of the D-optimal block design + > ##obtained using the treatment exchange algorithm for + > trt.N <- 10 #Number of treatments + > blk.N <- 10 #Number of blocks + > theta <- 0.2 #theta value + > OptdesF <- rbind(1:10, c(2:10,1)) #D-optimal design (loop design) + > + > graphoptbd.mae(trt.N = 10, blk.N = 10, theta = 0.2, OptdesF, Optcrit = "D", cbVal2 = 0) + Error: + ! `tkplot()` was deprecated in igraph 3.0.0 and is now defunct. + Backtrace: + ▆ + 1. └─optbdmaeAT::graphoptbd.mae(...) + 2. └─igraph::tkplot(...) + 3. └─lifecycle::deprecate_stop("3.0.0", "tkplot()") + 4. └─lifecycle:::deprecate_stop0(msg) + 5. └─rlang::cnd_signal(...) + Execution halted + ``` + +# optrcdmaeAT (1.0.1) + +* Email: +* GitHub mirror: + +Run `revdepcheck::cloud_details(, "optrcdmaeAT")` for more info + +## Newly broken + +* checking examples ... ERROR + ``` + ... + > + > ### ** Examples + > + > ##To create the graphical layout of the D-optimal row-column design + > ##obtained using the treatment exchange algorithm for + > + > trt.N <- 10 #Number of treatments + > + > col.N <- 10 #Number of arrays + > + > theta <- 0.2 #theta value + > + > OptdesF <- rbind(1:10, c(2:10, 1)) #D-optimal design (loop design) + > + > graphoptrcd.mae(trt.N = 10, col.N = 10, theta = 0.2, OptdesF, Optcrit = "D", cbVal2 = 0) + Error: + ! `tkplot()` was deprecated in igraph 3.0.0 and is now defunct. + Backtrace: + ▆ + 1. └─optrcdmaeAT::graphoptrcd.mae(...) + 2. └─igraph::tkplot(...) + 3. └─lifecycle::deprecate_stop("3.0.0", "tkplot()") + 4. └─lifecycle:::deprecate_stop0(msg) + 5. └─rlang::cnd_signal(...) + Execution halted ``` # rSpectral (1.0.0.14)