# This file created by conda-build 3.19.2
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Tue May 12 07:53:00 2020
# ------------------------------------------------

package:
    name: r-unmarked
    version: 1.0.0
source:
    sha256: fa09350d5c261eae353bf9ce2b3768afb98f0d44faa9afeed25e1f09b1686ded
    url:
        - https://cran.r-project.org/src/contrib/Archive/unmarked/unmarked_1.0.0.tar.gz
        - https://cran.r-project.org/src/contrib/unmarked_1.0.0.tar.gz
build:
    merge_build_host: true
    number: '0'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r36haf2acee_0
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 8_h8933c1f_netlib
        - liblapack 3.8.0 8_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-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 3.6.3 hf0ea6f9_2
        - r-lattice 0.20_41 r36hda5aaf8_2
        - r-mass 7.3_51.6 r36hda5aaf8_2
        - r-matrix 1.2_18 r36h0adb578_3
        - r-plyr 1.8.6 r36h796a38f_1
        - r-raster 3.1_5 r36h796a38f_1
        - r-rcpp 1.0.4.6 r36h796a38f_1
        - r-rcpparmadillo 0.9.870.2.0 r36hb8e368e_1
        - r-sp 1.4_1 r36hda5aaf8_1
    run:
        - libblas >=3.8.0,<4.0a0
        - m2w64-gcc-libs
        - r-base >=3.6,<3.7.0a0
        - r-lattice
        - r-mass
        - r-matrix
        - r-plyr
        - r-raster
        - r-rcpp >=0.8.0
        - r-rcpparmadillo
test:
    commands:
        - '"%R%" -e "library(''unmarked'')"'
about:
    home: http://groups.google.com/group/unmarked, https://sites.google.com/site/unmarkedinfo/home,
        http://github.com/ianfiske/unmarked, http://github.com/rbchan/unmarked
    license: GPL-3.0-only
    license_family: GPL3
    license_file:
        - D:\bld\r-unmarked_1589270161024\_h_env/lib/R/share/licenses/GPL-3
    summary: Fits hierarchical models of animal abundance and occurrence to data collected
        using survey methods such as point counts, site occupancy sampling, distance
        sampling, removal sampling, and double observer sampling. Parameters governing
        the state and observation processes can be modeled as functions of covariates.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
