# This file created by conda-build 3.19.2
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Wed May 13 20:56:37 2020
# ------------------------------------------------

package:
    name: r-gld
    version: 2.6.2
source:
    sha256: 915860ac054ba4d29854c7d274e9c927995c5df2a7d4a6a0122b1fbc4a3c3cf3
    url:
        - https://cran.r-project.org/src/contrib/Archive/gld/gld_2.6.2.tar.gz
        - https://cran.r-project.org/src/contrib/gld_2.6.2.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 2020.1 216
        - libblas 3.8.0 15_mkl
        - liblapack 3.8.0 15_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 2020.0 166
        - msys2-conda-epoch 20160418 1
        - r-base 3.6.3 hf0ea6f9_2
        - r-class 7.3_17 r36hda5aaf8_1
        - r-e1071 1.7_3 r36h796a38f_1
        - r-lmom 2.8 r36h17ddedb_1
        - r-mass 7.3_51.6 r36hda5aaf8_2
    run:
        - m2w64-gcc-libs
        - r-base >=3.6,<3.7.0a0
        - r-e1071
        - r-lmom
test:
    commands:
        - '"%R%" -e "library(''gld'')"'
about:
    home: http://tolstoy.newcastle.edu.au/~rking/publ/rprogs/information.html
    license: GPL-2.0-only
    license_family: GPL2
    license_file:
        - D:\bld\r-gld_1589403555865\_h_env/lib/R/share/licenses/GPL-2
    summary: The generalised lambda distribution, or Tukey lambda distribution, provides
        a wide variety of shapes with one functional form. This package provides random
        numbers, quantiles, probabilities, densities and density quantiles for four
        different types of the distribution, the FKML (Freimer et al 1988), RS (Ramberg
        and Schmeiser 1974), GPD (van Staden and Loots 2009) and FM5 - see documentation
        for details. It provides the density function, distribution function, and
        Quantile-Quantile plots. It implements a variety of estimation methods for
        the distribution, including diagnostic plots. Estimation methods include the
        starship (all 4 types), method of L-Moments for the GPD and FKML types, and
        a number of methods for only the FKML type. These include maximum likelihood,
        maximum product of spacings, Titterington's method, Moments, Trimmed L-Moments
        and Distributional Least Absolutes.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
