# This file created by conda-build 3.18.7
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Thu Jul 18 16:46:29 2019
# ------------------------------------------------

package:
    name: r-flexclust
    version: '1.4_0'
source:
    sha256: 82fe445075a795c724644864c7ee803c5dd332a89ea9e6ccf7cd1ae2d1ecfc74
    url:
        - https://cran.r-project.org/src/contrib/Archive/flexclust/flexclust_1.4-0.tar.gz
        - https://cran.r-project.org/src/contrib/flexclust_1.4-0.tar.gz
build:
    merge_build_host: true
    number: '1'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r36hda5aaf8_1
requirements:
    build:
        - m2-bash 4.3.042 5
        - m2-coreutils 8.25 102
        - m2-filesystem 2016.04 4
        - m2-gcc-libs 5.3.0 4
        - m2-gmp 6.1.0 3
        - m2-libbz2 1.0.6 3
        - m2-libiconv 1.14 3
        - m2-libintl 0.19.7 4
        - m2-make 4.1 5
        - m2-msys2-runtime 2.5.0.17080.65c939c 3
        - m2-sed 4.2.2 3
        - m2-zip 3.0 2
        - 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 2019.4 245
        - libblas 3.8.0 8_mkl
        - liblapack 3.8.0 8_mkl
        - 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
        - mkl 2019.4 245
        - msys2-conda-epoch 20160418 1
        - r-base 3.6.1 h91c7823_2
        - r-class 7.3_15 r36hda5aaf8_1001
        - r-lattice 0.20_38 r36hda5aaf8_1001
        - r-mass 7.3_51.4 r36hda5aaf8_1
        - r-modeltools 0.2_22 r36h6115d3f_1002
    run:
        - m2w64-gcc-libs
        - r-base >=3.6,<3.7.0a0
        - r-class
        - r-lattice
        - r-modeltools
test:
    commands:
        - '"%R%" -e "library(''flexclust'')"'
about:
    home: https://CRAN.R-project.org/package=flexclust
    license: GPL-2
    license_family: GPL2
    license_file: D:\bld\r-flexclust_1563468597993\_h_env/lib/R/share/licenses/GPL-2
    summary: The main function kcca implements a general framework for k-centroids
        cluster analysis supporting arbitrary distance measures and centroid computation.
        Further cluster methods include hard competitive learning, neural gas, and
        QT clustering. There are numerous visualization methods for cluster results
        (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...),
        and bootstrap methods for the analysis of cluster stability.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
