# This file created by conda-build 3.15.1
# meta.yaml template originally from:
# C:\projects\r-dppackage-feedstock\recipe, last modified Fri Jan  4 20:13:48 2019
# ------------------------------------------------

package:
    name: r-dppackage
    version: 1.1_7.4
source:
    sha256: a6a9a8d1a85873a4dbe5894d376f811630731122e6a2d4266e2173b96629dc51
    url:
        - https://cran.r-project.org/src/contrib/Archive/DPpackage/DPpackage_1.1-7.4.tar.gz
        - https://cran.r-project.org/src/contrib/DPpackage_1.1-7.4.tar.gz
build:
    merge_build_host: true
    number: '0'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r351h6115d3f_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-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 1.0.0 anacondar_1
        - 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-openblas 0.2.19 1
        - 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 hfa6e2cd_1005
        - r-lattice 0.20_38 r351h6115d3f_1000
        - r-mass 7.3_51.1 r351h6115d3f_1000
        - r-matrix 1.2_15 r351h6115d3f_1000
        - r-nlme 3.1_137 r351h6115d3f_1000
        - r-survival 2.42_6 r351h6115d3f_1001
    run:
        - m2w64-gcc-libs
        - r-base >=3.5.1,<3.5.2.0a0
        - r-mass
        - r-nlme
        - r-survival
test:
    commands:
        - '"%R%" -e "library(''DPpackage'')"'
about:
    home: http://www.mat.puc.cl/~ajara
    license: GPL (>= 2)
    license_family: GPL3
    license_file: C:\bld\r-dppackage_1546633037912\_h_env/lib/R/share/licenses/GPL-2
    summary: Functions to perform inference via simulation from the posterior distributions
        for Bayesian nonparametric and semiparametric models. Although the name of
        the package was motivated by the Dirichlet Process prior, the package considers
        and will consider other priors on functional spaces. So far, DPpackage includes
        models considering Dirichlet Processes, Dependent Dirichlet Processes, Dependent
        Poisson- Dirichlet Processes, Hierarchical Dirichlet Processes, Polya Trees,
        Linear Dependent Tailfree Processes, Mixtures of Triangular distributions,
        Random Bernstein polynomials priors and Dependent Bernstein Polynomials.  The
        package also includes models considering Penalized B-Splines.  Includes semiparametric
        models for marginal and conditional density estimation, ROC curve analysis,
        interval censored data, binary regression models, generalized linear mixed
        models, IRT type models, and generalized additive models. Also contains functions
        to compute Pseudo-Bayes factors for model comparison, and to elicitate the
        precision parameter of the Dirichlet Process. To maximize computational efficiency,
        the actual sampling for each model is done in compiled FORTRAN. The functions
        return objects which can be subsequently analyzed with functions provided
        in the 'coda' package.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
