# This file created by conda-build 3.20.5
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Sat Oct 31 16:06:08 2020
# ------------------------------------------------

package:
    name: r-npflow
    version: 0.13.3
source:
    sha256: c04dd11fdf898331e6a152968e0c36ac3ae75c81fbf6790dd9f2d72b509dedad
    url:
        - https://cran.r-project.org/src/contrib/Archive/NPflow/NPflow_0.13.3.tar.gz
        - https://cran.r-project.org/src/contrib/NPflow_0.13.3.tar.gz
build:
    merge_build_host: true
    number: '1'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r36h01f9f87_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
        - libblas 3.8.0 11_h8933c1f_netlib
        - liblapack 3.8.0 11_h8933c1f_netlib
        - 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-icu 58.2 heb44b8b_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-assertthat 0.2.1 r36h6115d3f_2
        - r-backports 1.1.10 r36hda5aaf8_0
        - r-base 3.6.3 hc562dc2_4
        - r-callr 3.5.1 r36h142f84f_0
        - r-cli 2.1.0 r36h142f84f_0
        - r-colorspace 1.4_1 r36hda5aaf8_2
        - r-crayon 1.3.4 r36h6115d3f_1003
        - r-desc 1.2.0 r36h6115d3f_1003
        - r-digest 0.6.27 r36h096a1c2_0
        - r-ellipse 0.4.2 r36h6115d3f_0
        - r-ellipsis 0.3.1 r36hda5aaf8_0
        - r-evaluate 0.14 r36h6115d3f_2
        - r-fansi 0.4.1 r36hda5aaf8_1
        - r-farver 2.0.3 r36h796a38f_1
        - r-fastcluster 1.1.25 r36hf9d1db5_1004
        - r-ggplot2 3.3.2 r36h6115d3f_0
        - r-glue 1.4.2 r36hda5aaf8_0
        - r-gtable 0.3.0 r36h6115d3f_3
        - r-isoband 0.2.2 r36h796a38f_0
        - r-labeling 0.4.2 r36h142f84f_0
        - r-lattice 0.20_41 r36hda5aaf8_2
        - r-lifecycle 0.2.0 r36h6115d3f_1
        - r-magrittr 1.5 r36h6115d3f_1003
        - r-mass 7.3_53 r36hda5aaf8_0
        - r-matrix 1.2_18 r36h0adb578_3
        - r-mgcv 1.8_33 r36h0adb578_0
        - r-munsell 0.5.0 r36h6115d3f_1003
        - r-nlme 3.1_150 r36h87ffe87_0
        - r-pheatmap 1.0.12 r36h6115d3f_2
        - r-pillar 1.4.6 r36h6115d3f_0
        - r-pkgbuild 1.1.0 r36h6115d3f_0
        - r-pkgconfig 2.0.3 r36h6115d3f_1
        - r-pkgload 1.1.0 r36h796a38f_0
        - r-plyr 1.8.6 r36h796a38f_1
        - r-praise 1.0.0 r36h6115d3f_1004
        - r-prettyunits 1.1.1 r36h6115d3f_1
        - r-processx 3.4.4 r36hda5aaf8_0
        - r-ps 1.4.0 r36h02096d4_0
        - r-r6 2.5.0 r36hc72bb7e_0
        - r-rcolorbrewer 1.1_2 r36h6115d3f_1003
        - r-rcpp 1.0.5 r36h796a38f_0
        - r-rcpparmadillo 0.10.1.0.0 r36hc6cacc8_0
        - r-reshape2 1.4.4 r36h796a38f_1
        - r-rlang 0.4.7 r36hda5aaf8_0
        - r-rprojroot 1.3_2 r36h6115d3f_1003
        - r-rstudioapi 0.11 r36h6115d3f_1
        - r-scales 1.1.1 r36h6115d3f_0
        - r-stringi 1.5.3 r36h796a38f_0
        - r-stringr 1.4.0 r36h6115d3f_2
        - r-testthat 2.3.2 r36h796a38f_1
        - r-tibble 3.0.4 r36h02096d4_0
        - r-truncnorm 1.0_8 r36hda5aaf8_1001
        - r-utf8 1.1.4 r36hda5aaf8_1003
        - r-vctrs 0.3.4 r36hda5aaf8_0
        - r-viridislite 0.3.0 r36h6115d3f_1003
        - r-withr 2.3.0 r36h6115d3f_0
        - r-zeallot 0.1.0 r36h6115d3f_1002
    run:
        - libblas >=3.8.0,<4.0a0
        - m2w64-gcc-libs
        - r-base >=3.6,<3.7.0a0
        - r-ellipse
        - r-fastcluster
        - r-ggplot2
        - r-pheatmap
        - r-rcpp >=0.12.11
        - r-rcpparmadillo
        - r-reshape2
        - r-truncnorm
test:
    commands:
        - '"%R%" -e "library(''NPflow'')"'
about:
    home: https://CRAN.R-project.org/package=NPflow
    license: LGPL-3.0-only
    license_family: LGPL
    license_file:
        - D:\bld\r-npflow_1604160672538\_h_env/lib/R/share/licenses/LGPL-3
        - LICENSE
    summary: 'Dirichlet process mixture of multivariate normal, skew normal or skew
        t-distributions modeling oriented towards flow-cytometry data preprocessing
        applications. Method is detailed in: Hejblum, Alkhassimn, Gottardo, Caron
        & Thiebaut (2019) <doi: 10.1214/18-AOAS1209>.'
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
        - khusmann
