# This file created by conda-build 2.1.17
# meta.yaml template originally from:
# C:\projects\r-grpreg-feedstock\recipe, last modified Thu Aug 17 19:36:43 2017
# ------------------------------------------------

package:
    name: r-grpreg
    version: '3.0_2'
source:
    fn: grpreg_3.0-2.tar.gz
    sha256: 12111d8ecb45974070a22ac6998155cc67935b49d88b358f5eaaa0f2833dd8f0
    url:
        - https://cran.r-project.org/src/contrib/grpreg_3.0-2.tar.gz
        - https://cran.r-project.org/src/contrib/Archive/grpreg/grpreg_3.0-2.tar.gz
build:
    noarch: ''
    noarch_python: false
    number: '0'
    rpaths:
        - lib/R/lib/
        - lib/
    string: r3.4.1_0
requirements:
    build:
        - m2-tzcode 2015.e 2
        - m2w64-crt-git 5.0.0.4636.2595836 2
        - m2-msys2-runtime 2.5.0.17080.65c939c 3
        - m2w64-libxml2 2.9.3 3
        - m2-libcrypt 1.3 2
        - r-base 3.4.1 0
        - m2-which 2.21 3
        - m2-mintty 1!2.2.3 2
        - m2-catgets 1.1 3
        - m2-gcc-libs 5.3.0 4
        - m2-libbz2 1.0.6 3
        - m2-sed 4.2.2 3
        - m2-libxml2 2.9.2 3
        - m2-info 6.0 2
        - m2w64-make 4.1.2351.a80a8b8 2
        - m2-bash 4.3.042 5
        - m2-libintl 0.19.7 4
        - m2w64-speexdsp 1.2rc3 3
        - m2w64-tktable 2.10 5
        - m2w64-headers-git 5.0.0.4636.c0ad18a 2
        - m2-gmp 6.1.0 3
        - m2-time 1.7 2
        - m2w64-fftw 3.3.4 6
        - m2w64-gettext 0.19.7 2
        - m2w64-gcc-objc 5.3.0 6
        - m2-bash-completion 2.3 2
        - m2w64-mpfr 3.1.4 4
        - m2-libutil-linux 2.26.2 2
        - m2-make 4.1 5
        - m2-gzip 1.7 2
        - m2-findutils 4.6.0 2
        - m2w64-gcc-ada 5.3.0 6
        - m2-util-linux 2.26.2 2
        - m2-unzip 6.0 3
        - m2-zip 3.0 2
        - m2-base 1.0.0 2
        - m2-libgettextpo 0.19.7 4
        - m2w64-binutils 2.25.1 5
        - m2-libpcre 8.38 2
        - m2w64-toolchain 5.3.0 7
        - m2w64-gcc-libgfortran 5.3.0 6
        - m2-inetutils 1.9.2 2
        - m2-coreutils 8.25 102
        - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
        - m2w64-wineditline 2.101 5
        - m2w64-libogg 1.3.2 3
        - m2w64-mpc 1.0.3 3
        - m2-libiconv 1.14 3
        - m2-tftp-hpa 5.2 2
        - m2w64-libjpeg-turbo 1.4.2 3
        - m2w64-pcre 8.38 2
        - m2w64-libpng 1.6.21 2
        - m2w64-isl 0.16.1 2
        - m2-gettext 0.19.7 4
        - m2w64-libmangle-git 5.0.0.4509.2e5a9a2 2
        - r-matrix 1.2_10 r3.4.1_0
        - m2w64-libtiff 4.0.6 2
        - m2-tar 1.28 4
        - m2w64-windows-default-manifest 6.4 3
        - m2w64-bzip2 1.0.6 6
        - m2w64-tcl 8.6.5 3
        - m2-gawk 4.1.3 2
        - m2-liblzma 5.2.2 2
        - m2w64-tk 8.6.5 3
        - m2w64-flac 1.3.1 3
        - m2-ttyrec 1.0.8 2
        - m2-less 481 2
        - m2w64-pkg-config 0.29.1 2
        - m2w64-bwidget 1.9.10 2
        - m2w64-zlib 1.2.8 10
        - m2w64-gcc-libs 5.3.0 7
        - m2w64-gsl 2.1 2
        - m2w64-winpthreads-git 5.0.0.4634.697f757 2
        - m2-zlib 1.2.8 4
        - m2-libcatgets 1.1 3
        - m2-filesystem 2016.04 4
        - m2w64-tools-git 5.0.0.4592.90b8472 2
        - m2w64-libvorbis 1.3.5 2
        - posix 1.0.0 2
        - m2-libreadline 6.3.008 8
        - msys2-conda-epoch 20160418 1
        - m2w64-gcc-fortran 5.3.0 6
        - m2w64-xz 5.2.2 2
        - m2-ncurses 6.0.20160220 2
        - r-lattice 0.20_35 r3.4.1_0
        - m2-msys2-launcher-git 0.3.28.860c495 2
        - m2w64-libiconv 1.14 6
        - m2-dash 0.5.8 2
        - m2w64-gcc-libs-core 5.3.0 7
        - m2-libasprintf 0.19.7 4
        - m2-file 5.25 2
        - m2-diffutils 3.3 4
        - m2w64-gcc 5.3.0 6
        - m2-grep 2.22 4
        - m2w64-expat 2.1.1 2
        - m2-mpfr 3.1.4 2
        - m2w64-speex 1.2rc2 3
        - m2w64-gmp 6.1.0 2
        - m2w64-libsndfile 1.0.26 2
    run:
        - r-base
        - r-matrix
test:
    commands:
        - '"%R%" -e "library(''grpreg'')"'
about:
    home: https://CRAN.R-project.org/package=grpreg
    license: GPL-3
    license_family: GPL3
    summary: Efficient algorithms for fitting the regularization path of linear or
        logistic regression models with grouped penalties.  This includes group selection
        methods such as group lasso, group MCP, and group SCAD as well as bi-level
        selection methods such as the group exponential lasso, the composite MCP,
        and the group bridge.
extra:
    final: true
    recipe-maintainers:
        - johanneskoester
        - bgruening
