# This file created by conda-build 3.18.9
# meta.yaml template originally from:
# /opt/concourse/worker/volumes/live/4fd044e7-854e-47bc-7cdc-35f5a1e5cb5a/volume/aggregateR/r-diffee-feedstock/recipe, last modified Fri Sep  6 10:55:33 2019
# ------------------------------------------------

package:
    name: r-diffee
    version: 1.1.0
source:
    sha256: c2988496e3c929241c74552fa5bcefc978b726227d6b08ab7fbd82f3f30d8b06
    url:
        - https://cran.r-project.org/src/contrib/Archive/diffee/diffee_1.1.0.tar.gz
        - https://cran.r-project.org/src/contrib/diffee_1.1.0.tar.gz
build:
    noarch: generic
    number: '0'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r36h6115d3f_0
requirements:
    host:
        - _r-mutex 1.0.0 anacondar_1
        - bwidget 1.9.11 1
        - bzip2 1.0.8 h1de35cc_0
        - ca-certificates 2019.5.15 1
        - cairo 1.14.12 hc4e6be7_4
        - cctools 895 1
        - clang 4.0.1 1
        - clang_osx-64 4.0.1 h1ce6c1d_18
        - clangxx 4.0.1 1
        - clangxx_osx-64 4.0.1 h22b1bf0_18
        - compiler-rt 4.0.1 hcfea43d_1
        - curl 7.65.3 ha441bb4_0
        - fontconfig 2.13.0 h5d5b041_1
        - freetype 2.9.1 hb4e5f40_0
        - fribidi 1.0.5 h1de35cc_0
        - gettext 0.19.8.1 h15daf44_3
        - gfortran_osx-64 4.8.5 h22b1bf0_8
        - glib 2.56.2 hd9629dc_0
        - graphite2 1.3.13 h2098e52_0
        - gsl 2.4 h1de35cc_4
        - harfbuzz 1.8.8 hb8d4a28_0
        - icu 58.2 h4b95b61_1
        - jpeg 9b he5867d9_2
        - krb5 1.16.1 hddcf347_7
        - ld64 274.2 1
        - libcurl 7.65.3 h051b688_0
        - libcxx 4.0.1 hcfea43d_1
        - libcxxabi 4.0.1 hcfea43d_1
        - libedit 3.1.20181209 hb402a30_0
        - libffi 3.2.1 h475c297_4
        - libgfortran 3.0.1 h93005f0_2
        - libiconv 1.15 hdd342a3_7
        - libpng 1.6.37 ha441bb4_0
        - libssh2 1.8.2 ha12b0ac_0
        - libtiff 4.0.10 hcb84e12_2
        - libxml2 2.9.9 hf6e021a_1
        - llvm 4.0.1 1
        - llvm-lto-tapi 4.0.1 1
        - llvm-openmp 4.0.1 hcfea43d_1
        - make 4.2.1 h3efe00b_1
        - ncurses 6.1 h0a44026_1
        - openssl 1.1.1c h1de35cc_1
        - pango 1.42.4 h060686c_0
        - pcre 8.43 h0a44026_0
        - pixman 0.38.0 h1de35cc_0
        - r-base 3.6.1 hcb44179_0
        - r-igraph 1.2.4.1 r36hbe7ee20_0
        - r-lattice 0.20_38 r36h46e59ec_0
        - r-magrittr 1.5 r36h6115d3f_4
        - r-matrix 1.2_17 r36h46e59ec_0
        - r-mvtnorm 1.0_10 r36hfffe0aa_0
        - r-pcapp 1.9_73 r36h466af19_0
        - r-pkgconfig 2.0.2 r36h6115d3f_0
        - readline 7.0 h1de35cc_5
        - tk 8.6.8 ha441bb4_0
        - tktable 2.10 h1de35cc_0
        - xz 5.2.4 h1de35cc_4
        - zlib 1.2.11 h1de35cc_3
        - zstd 1.3.7 h5bba6e5_0
    run:
        - r-base >=3.6,<3.7.0a0
        - r-igraph
        - r-pcapp
test:
    commands:
        - $R -e "library('diffee')"
about:
    home: https://github.com/QData/DIFFEE
    license: GPL-2
    license_family: GPL2
    license_file:
        - /opt/concourse/worker/volumes/live/4fd044e7-854e-47bc-7cdc-35f5a1e5cb5a/volume/r-diffee_1567787220572/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/R/share/licenses/GPL-2
    summary: 'This is an R implementation of Fast and Scalable Learning of Sparse
        Changes in High-Dimensional Gaussian Graphical Model Structure (DIFFEE). The
        DIFFEE algorithm can be used to fast estimate the differential network between
        two related datasets. For instance, it can identify differential gene network
        from datasets of case and control. By performing data-driven network inference
        from two high-dimensional data sets, this tool can help users effectively
        translate two aggregated data blocks into knowledge of the changes among entities
        between two Gaussian Graphical Model. Please run demo(diffeeDemo) to learn
        the basic functions provided by this package. For further details, please
        read the original paper: Beilun Wang, Arshdeep Sekhon, Yanjun Qi (2018) <arXiv:1710.11223>.'
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - katietz
