# This file created by conda-build 3.14.2
# meta.yaml template originally from:
# C:\projects\r-loo-feedstock\recipe, last modified Mon Sep 10 07:20:02 2018
# ------------------------------------------------

package:
    name: r-loo
    version: 2.0.0
source:
    fn: loo_2.0.0.tar.gz
    sha256: 54bf01914d03b847d4bae3ffc6b01457d504ea0bf015c7131c94d477548558cc
    url:
        - https://cran.r-project.org/src/contrib/Archive/loo/loo_2.0.0.tar.gz
        - https://cran.r-project.org/src/contrib/loo_2.0.0.tar.gz
build:
    merge_build_host: true
    number: '1'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r351h6115d3f_1
requirements:
    build:
        - m2-gcc-libs 5.3.0 4
        - m2-libbz2 1.0.6 3
        - m2-msys2-runtime 2.5.0.17080.65c939c 3
        - m2-zip 3.0 2
        - msys2-conda-epoch 20160418 1
    host:
        - 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 3.5.1 h8933c1f_0
        - r-matrixstats 0.54.0 r351h6115d3f_0
    run:
        - r-base >=3.5.1,<3.5.2.0a0
        - r-matrixstats >=0.52
test:
    commands:
        - '"%R%" -e "library(''loo'')"'
about:
    home: http://mc-stan.org, http://discourse.mc-stan.org
    license: GPL (>= 3)
    license_family: GPL3
    license_file: C:\bld\r-loo_1536564134663\_h_env\R\share\licenses\GPL-3
    summary: Efficient approximate leave-one-out cross-validation (LOO) for Bayesian
        models fit using Markov chain Monte Carlo. The approximation uses Pareto smoothed
        importance sampling (PSIS), a new procedure for regularizing importance weights.
        As a byproduct of the calculations, we also obtain approximate standard errors
        for estimated predictive errors and for the comparison of predictive errors
        between models. The package also  provides methods for using stacking and
        other model weighting techniques  to average Bayesian predictive distributions.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - bgruening
        - cbrueffer
        - daler
        - dbast
        - jdblischak
        - johanneskoester
