# This file created by conda-build 3.18.2
# meta.yaml template originally from:
# C:\projects\r-stanheaders-feedstock\recipe, last modified Wed Jun 19 23:17:51 2019
# ------------------------------------------------

package:
    name: r-stanheaders
    version: 2.18.1_10
source:
    sha256: 8a9f7e22105428e97d14f44f75395c37cf8c809de148d279c620024452b3565a
    url:
        - https://cran.r-project.org/src/contrib/Archive/StanHeaders/StanHeaders_2.18.1-10.tar.gz
        - https://cran.r-project.org/src/contrib/StanHeaders_2.18.1-10.tar.gz
build:
    merge_build_host: true
    number: '0'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r35h5b3a9a7_0
requirements:
    build:
        - m2-bash 4.3.042 5
        - m2-coreutils 8.25 102
        - m2-filesystem 2016.04 4
        - m2-gcc-libs 5.3.0 4
        - m2-gmp 6.1.0 3
        - m2-libbz2 1.0.6 3
        - m2-libiconv 1.14 3
        - m2-libintl 0.19.7 4
        - m2-make 4.1 5
        - m2-msys2-runtime 2.5.0.17080.65c939c 3
        - m2-sed 4.2.2 3
        - m2-zip 3.0 2
        - m2w64-binutils 2.25.1 5
        - m2w64-bzip2 1.0.6 6
        - m2w64-crt-git 5.0.0.4636.2595836 2
        - m2w64-gcc 5.3.0 6
        - m2w64-gcc-ada 5.3.0 6
        - m2w64-gcc-fortran 5.3.0 6
        - m2w64-gcc-libgfortran 5.3.0 6
        - m2w64-gcc-libs 5.3.0 7
        - m2w64-gcc-libs-core 5.3.0 7
        - m2w64-gcc-objc 5.3.0 6
        - m2w64-gmp 6.1.0 2
        - m2w64-headers-git 5.0.0.4636.c0ad18a 2
        - m2w64-isl 0.16.1 2
        - m2w64-libiconv 1.14 6
        - m2w64-libmangle-git 5.0.0.4509.2e5a9a2 2
        - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
        - m2w64-make 4.1.2351.a80a8b8 2
        - m2w64-mpc 1.0.3 3
        - m2w64-mpfr 3.1.4 4
        - m2w64-pkg-config 0.29.1 2
        - m2w64-toolchain 5.3.0 7
        - m2w64-toolchain_win-64 2.4.0 0
        - m2w64-tools-git 5.0.0.4592.90b8472 2
        - m2w64-windows-default-manifest 6.4 3
        - m2w64-winpthreads-git 5.0.0.4634.697f757 2
        - m2w64-zlib 1.2.8 10
        - msys2-conda-epoch 20160418 1
    host:
        - _r-mutex 1.0.0 anacondar_1
        - m2w64-bwidget 1.9.10 2
        - m2w64-bzip2 1.0.6 6
        - m2w64-expat 2.1.1 2
        - m2w64-fftw 3.3.4 6
        - m2w64-flac 1.3.1 3
        - m2w64-gcc-libgfortran 5.3.0 6
        - m2w64-gcc-libs 5.3.0 7
        - m2w64-gcc-libs-core 5.3.0 7
        - m2w64-gettext 0.19.7 2
        - m2w64-gmp 6.1.0 2
        - m2w64-gsl 2.1 2
        - m2w64-libiconv 1.14 6
        - m2w64-libjpeg-turbo 1.4.2 3
        - m2w64-libogg 1.3.2 3
        - m2w64-libpng 1.6.21 2
        - m2w64-libsndfile 1.0.26 2
        - m2w64-libtiff 4.0.6 2
        - m2w64-libvorbis 1.3.5 2
        - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
        - m2w64-libxml2 2.9.3 4
        - m2w64-mpfr 3.1.4 4
        - m2w64-openblas 0.2.19 1
        - m2w64-pcre 8.38 2
        - m2w64-speex 1.2rc2 3
        - m2w64-speexdsp 1.2rc3 3
        - m2w64-tcl 8.6.5 3
        - m2w64-tk 8.6.5 3
        - m2w64-tktable 2.10 5
        - m2w64-wineditline 2.101 5
        - m2w64-xz 5.2.2 2
        - m2w64-zlib 1.2.8 10
        - msys2-conda-epoch 20160418 1
        - r-base 3.5.1 h0c8e037_1007
    run:
        - m2w64-gcc-libs
        - r-base >=3.5.1,<3.5.2.0a0
test:
    commands:
        - '"%R%" -e "library(''StanHeaders'')"'
about:
    home: http://mc-stan.org/
    license: BSD_3_clause
    license_family: BSD
    summary: The C++ header files of the Stan project are provided by this package,
        but it contains no R code or function documentation. There is a shared object
        containing part of the 'CVODES' library, but it is not accessible from R.
        'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo'
        directive of their package's DESCRIPTION file to build on the Stan library
        without incurring unnecessary dependencies. The Stan project develops a probabilistic
        programming language that implements full or approximate Bayesian statistical
        inference via Markov Chain Monte Carlo or 'variational' methods and implements
        (optionally penalized) maximum likelihood estimation via optimization. The
        Stan library includes an advanced automatic differentiation scheme, 'templated'
        statistical and linear algebra functions that can handle the automatically
        'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for
        the Stan language. The 'rstan' package provides user-facing R functions to
        parse, compile, test, estimate, and analyze Stan models.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
        - croth1
        - mdehollander
