# This file created by conda-build 3.15.1
# meta.yaml template originally from:
# C:\projects\r-pvclust-feedstock\recipe, last modified Sun Oct 28 22:53:14 2018
# ------------------------------------------------

package:
    name: r-pvclust
    version: '2.0_0'
source:
    fn: pvclust_2.0-0.tar.gz
    sha256: 1a4615214992307fd7c786cf4607a3ae2af5c0d4067f5053e1c195798a70d741
    url:
        - https://cran.r-project.org/src/contrib/Archive/pvclust/pvclust_2.0-0.tar.gz
        - https://cran.r-project.org/src/contrib/pvclust_2.0-0.tar.gz
build:
    number: '1'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r351_1
requirements:
    build:
        - 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-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 h8933c1f_1
    run:
        - r-base >=3.5.1,<3.5.2.0a0
test:
    commands:
        - '"%R%" -e "library(''pvclust'')"'
about:
    home: http://www.sigmath.es.osaka-u.ac.jp/shimo-lab/prog/pvclust/
    license: GPL (>= 2)
    license_family: GPL
    license_file: C:\bld\r-pvclust_1540767361190\_h_env\R\share\licenses\GPL-3
    summary: An implementation of multiscale bootstrap resampling for assessing the
        uncertainty in hierarchical cluster analysis. It provides AU (approximately
        unbiased) p-value as well as BP (bootstrap probability) value for each cluster
        in a dendrogram.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - bgruening
        - daler
        - dpryan79
        - jdblischak
        - johanneskoester
        - sebastian-luna-valero
