# This file created by conda-build 3.21.4
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Wed Jun 30 23:09:33 2021
# ------------------------------------------------

package:
  name: r-huge
  version: 1.3.5
source:
  sha256: 9240866e2f773cd0ac8a02514871149d2babaa162a49e151eab9591ad42984ea
  url:
    - https://cran.r-project.org/src/contrib/Archive/huge/huge_1.3.5.tar.gz
    - https://cran.r-project.org/src/contrib/huge_1.3.5.tar.gz
build:
  merge_build_host: true
  number: '0'
  rpaths:
    - lib/
    - lib/R/lib/
  string: r40ha856d6a_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-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 1.0.1 anacondar_1
    - intel-openmp 2021.2.0 h57928b3_616
    - libblas 3.9.0 9_mkl
    - libiconv 1.16 he774522_0
    - liblapack 3.9.0 9_mkl
    - libxml2 2.9.12 hf5bbc77_0
    - 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 3
    - m2w64-mpfr 3.1.4 4
    - m2w64-pcre2 10.34 0
    - 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
    - mkl 2021.2.0 hb70f87d_389
    - msys2-conda-epoch 20160418 1
    - r-base 4.0.5 hddad469_1
    - r-igraph 1.2.6 r40hc223d2e_1
    - r-lattice 0.20_44 r40h6d2157b_0
    - r-magrittr 2.0.1 r40h6d2157b_1
    - r-mass 7.3_54 r40h6d2157b_0
    - r-matrix 1.3_4 r40hd2e18ed_0
    - r-pkgconfig 2.0.3 r40hc72bb7e_1
    - r-rcpp 1.0.6 r40ha856d6a_0
    - r-rcppeigen 0.3.3.9.1 r40h399f8d5_0
    - tbb 2021.2.0 h2d74725_1
    - ucrt 10.0.20348.0 h57928b3_0
    - vc 14.2 hb210afc_5
    - vs2015_runtime 14.29.30037 h902a5da_5
    - zlib 1.2.11 h62dcd97_1010
  run:
    - m2w64-gcc-libs
    - r-base >=4.0,<4.1.0a0
    - 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-2.0-only
  license_family: GPL2
  license_file: D:\bld\r-huge_1625094813992\_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
