# This file created by conda-build 3.19.2
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Thu Jul  2 19:58:38 2020
# ------------------------------------------------

package:
    name: r-qgam
    version: 1.3.2
source:
    sha256: 273a40d0bfdc340c049bcb85aea83acd887868d8a69c0062b8399e0b24137a52
    url:
        - https://cran.r-project.org/src/contrib/Archive/qgam/qgam_1.3.2.tar.gz
        - https://cran.r-project.org/src/contrib/qgam_1.3.2.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 16_mkl
        - liblapack 3.8.0 16_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 2020.1 216
        - msys2-conda-epoch 20160418 1
        - r-base 3.6.3 hf0ea6f9_2
        - r-base64enc 0.1_3 r36hda5aaf8_1004
        - r-codetools 0.2_16 r36h6115d3f_1002
        - r-commonmark 1.7 r36hda5aaf8_1002
        - r-crayon 1.3.4 r36h6115d3f_1003
        - r-digest 0.6.25 r36h796a38f_2
        - r-doparallel 1.0.15 r36h6115d3f_1
        - r-fastmap 1.0.1 r36h796a38f_1
        - r-foreach 1.5.0 r36h6115d3f_1
        - r-glue 1.4.1 r36hda5aaf8_0
        - r-htmltools 0.5.0 r36h796a38f_0
        - r-httpuv 1.5.4 r36h796a38f_0
        - r-iterators 1.0.12 r36h6115d3f_1
        - r-jsonlite 1.7.0 r36hda5aaf8_0
        - r-later 1.1.0.1 r36h796a38f_0
        - r-lattice 0.20_41 r36hda5aaf8_2
        - r-magrittr 1.5 r36h6115d3f_1003
        - r-matrix 1.2_18 r36h0adb578_3
        - r-mgcv 1.8_31 r36h0adb578_1
        - r-mime 0.9 r36hda5aaf8_1
        - r-nlme 3.1_148 r36h17ddedb_0
        - r-plyr 1.8.6 r36h796a38f_1
        - r-promises 1.1.1 r36h796a38f_0
        - r-r6 2.4.1 r36h6115d3f_1
        - r-rcpp 1.0.4.6 r36h796a38f_1
        - r-rlang 0.4.6 r36hda5aaf8_0
        - r-shiny 1.5.0 r36h6115d3f_0
        - r-sourcetools 0.1.7 r36hca4a3dc_1002
        - r-withr 2.2.0 r36h6115d3f_1
        - r-xtable 1.8_4 r36h6115d3f_3
    run:
        - m2w64-gcc-libs
        - r-base >=3.6,<3.7.0a0
        - r-doparallel
        - r-mgcv >=1.8_28
        - r-plyr
        - r-shiny
test:
    commands:
        - '"%R%" -e "library(''qgam'')"'
about:
    home: https://CRAN.R-project.org/package=qgam
    license: GPL-2.0-or-later
    license_family: GPL2
    license_file:
        - D:\bld\r-qgam_1593720153238\_h_env/lib/R/share/licenses/GPL-2
    summary: Smooth additive quantile regression models, fitted using the methods
        of Fasiolo et al. (2017) <arXiv:1707.03307>. Differently from 'quantreg',
        the smoothing parameters are estimated automatically by marginal loss minimization,
        while the regression coefficients are estimated using either PIRLS or Newton
        algorithm. The learning rate is determined so that the Bayesian credible intervals
        of the estimated effects have approximately the correct coverage. The main
        function is qgam() which is similar to gam() in 'mgcv', but fits non-parametric
        quantile regression models.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - brendanf
        - conda-forge/r
