# This file created by conda-build 2.1.18
# meta.yaml template originally from:
# C:\projects\r-dendsort-feedstock\recipe, last modified Fri Feb 09 21:52:52 2018
# ------------------------------------------------

package:
    name: r-dendsort
    version: 0.3.3
source:
    fn: dendsort_0.3.3.tar.gz
    sha256: d54713cb230a7523cb87f1c7f2d68d9c570c01e61b551457bd71bb7bd38198d4
    url:
        - https://cran.r-project.org/src/contrib/dendsort_0.3.3.tar.gz
        - https://cran.r-project.org/src/contrib/Archive/dendsort/dendsort_0.3.3.tar.gz
build:
    noarch: ''
    noarch_python: false
    number: '0'
    rpaths:
        - lib/R/lib/
        - lib/
    string: r3.4.1_0
requirements:
    build:
        - m2w64-mpfr 3.1.4 4
        - msys2-conda-epoch 20160418 1
        - m2w64-libtiff 4.0.6 2
        - m2w64-xz 5.2.2 2
        - m2w64-bzip2 1.0.6 6
        - m2w64-tcl 8.6.5 3
        - m2w64-libiconv 1.14 6
        - m2w64-tk 8.6.5 3
        - m2w64-gcc-libs-core 5.3.0 7
        - m2w64-flac 1.3.1 3
        - r-base 3.4.1 1
        - 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-libxml2 2.9.3 4
        - m2w64-gcc-libgfortran 5.3.0 6
        - m2w64-expat 2.1.1 2
        - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
        - m2w64-wineditline 2.101 5
        - m2w64-speexdsp 1.2rc3 3
        - m2w64-libogg 1.3.2 3
        - m2w64-speex 1.2rc2 3
        - m2w64-libsndfile 1.0.26 2
        - m2w64-libvorbis 1.3.5 2
        - m2w64-fftw 3.3.4 6
        - m2w64-tktable 2.10 5
        - m2w64-gettext 0.19.7 2
        - m2w64-gmp 6.1.0 2
        - m2w64-libjpeg-turbo 1.4.2 3
        - m2w64-pcre 8.38 2
        - m2w64-libpng 1.6.21 2
    run:
        - r-base
test:
    commands:
        - '"%R%" -e "library(''dendsort'')"'
about:
    home: https://cran.r-project.org/web/packages/dendsort
    license: GPL-2 | GPL-3
    license_family: GPL3
    license_file: C:\bld\r-dendsort_1518213313149\_b_env\R\share\licenses\GPL-3
    summary: An implementation of functions to optimize ordering of nodes in a dendrogram,
        without affecting the meaning of the dendrogram. A dendrogram can be sorted
        based on the average distance of subtrees, or based on the smallest distance
        value. These sorting methods improve readability and interpretability of tree
        structure, especially for tasks such as comparison of different distance measures
        or linkage types and identification of tight clusters and outliers. As a result,
        it also introduces more meaningful reordering for a coupled heatmap visualization.
extra:
    final: true
    recipe-maintainers:
        - johanneskoester
        - bgruening
        - daler
        - jdblischak
        - roryk
