# This file created by conda-build 3.17.8
# meta.yaml template originally from:
# C:\projects\r-huge-feedstock\recipe, last modified Mon Apr  8 13:00:47 2019
# ------------------------------------------------

package:
    name: r-huge
    version: 1.3.2
source:
    sha256: 0d4b683c50fb99ee0ef7c3551ac7cca4e828eacd10372853a3037b19e27e23c9
    url:
        - https://cran.r-project.org/src/contrib/Archive/huge/huge_1.3.2.tar.gz
        - https://cran.r-project.org/src/contrib/huge_1.3.2.tar.gz
build:
    merge_build_host: true
    number: '0'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r351h6115d3f_0
requirements:
    build:
        - m2-autoconf 2.69 4
        - m2-automake-wrapper 10 2
        - m2-automake1.10 1.10.3 4
        - m2-automake1.11 1.11.6 4
        - m2-automake1.12 1.12.6 4
        - m2-automake1.13 1.13.4 5
        - m2-automake1.14 1.14.1 4
        - m2-automake1.15 1.15 3
        - m2-automake1.6 1.6.3 3
        - m2-automake1.7 1.7.9 3
        - m2-automake1.8 1.8.5 4
        - m2-automake1.9 1.9.6 3
        - m2-bash 4.3.042 5
        - m2-coreutils 8.25 102
        - m2-db 5.3.28 3
        - m2-diffutils 3.3 4
        - m2-filesystem 2016.04 4
        - m2-gawk 4.1.3 2
        - m2-gcc-libs 5.3.0 4
        - m2-gdbm 1.11 4
        - m2-gettext 0.19.7 4
        - m2-glib2 2.48.0 2
        - m2-gmp 6.1.0 3
        - m2-grep 2.22 4
        - m2-libasprintf 0.19.7 4
        - m2-libbz2 1.0.6 3
        - m2-libcrypt 1.3 2
        - m2-libdb 5.3.28 3
        - m2-libffi 3.2.1 2
        - m2-libgcrypt 1.6.4 2
        - m2-libgdbm 1.11 4
        - m2-libgettextpo 0.19.7 4
        - m2-libgpg-error 1.21 2
        - m2-libiconv 1.14 3
        - m2-libintl 0.19.7 4
        - m2-liblzma 5.2.2 2
        - m2-libpcre 8.38 2
        - m2-libreadline 6.3.008 8
        - m2-libxml2 2.9.2 3
        - m2-libxslt 1.1.28 8
        - m2-m4 1.4.17 5
        - m2-make 4.1 5
        - m2-mpfr 3.1.4 2
        - m2-msys2-runtime 2.5.0.17080.65c939c 3
        - m2-ncurses 6.0.20160220 2
        - m2-perl 5.22.1 2
        - m2-pkg-config 0.29.1 2
        - m2-sed 4.2.2 3
        - m2-zip 3.0 2
        - m2-zlib 1.2.8 4
        - 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-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 hfa6e2cd_1006
        - r-igraph 1.2.4 r351h6115d3f_0
        - r-lattice 0.20_38 r351h6115d3f_1000
        - r-magrittr 1.5 r351h6115d3f_1001
        - r-mass 7.3_51.3 r351h6115d3f_0
        - r-matrix 1.2_17 r351h6115d3f_0
        - r-pkgconfig 2.0.2 r351h6115d3f_1001
        - r-rcpp 1.0.1 r351h6115d3f_0
        - r-rcppeigen 0.3.3.5.0 r351h6115d3f_0
    run:
        - m2w64-gcc-libs
        - r-base >=3.5.1,<3.5.2.0a0
        - r-igraph
        - r-mass
        - r-matrix
        - r-rcpp
        - r-rcppeigen
test:
    commands:
        - '"%R%" -e "library(''huge'')"'
about:
    home: https://CRAN.R-project.org/package=huge
    license: GPL-2
    license_family: GPL2
    license_file: C:\bld\r-huge_1554728650124\_h_env/lib/R/share/licenses/GPL-2
    summary: 'Provides a general framework for high-dimensional undirected graph estimation.
        It integrates data preprocessing, neighborhood screening, graph estimation,
        and model selection techniques into a pipeline. In preprocessing stage, the
        nonparanormal(npn) transformation is applied to help relax the normality assumption.
        In the graph estimation stage, the graph structure is estimated by Meinshausen-Buhlmann
        graph estimation or the graphical lasso, and both methods can be further accelerated
        by the lossy screening rule preselecting the neighborhood of each variable
        by correlation thresholding. We target on high-dimensional data analysis usually
        d >> n, and the computation is memory-optimized using the sparse matrix output.
        We also provide a computationally efficient approach, correlation thresholding
        graph estimation. Three regularization/thresholding parameter selection methods
        are included in this package: (1)stability approach for regularization selection
        (2) rotation information criterion (3) extended Bayesian information criterion
        which is only available for the graphical lasso.'
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
        - nick-youngblut
