# This file created by conda-build 3.19.2
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Mon May  4 04:20:48 2020
# ------------------------------------------------

package:
    name: r-timereg
    version: 1.9.4
source:
    fn: timereg_1.9.4.tar.gz
    sha256: fbf4eeee1648fceb98773156764c32b3a9481f0fb9f8dc3a9d0331a9051cb54b
    url:
        - https://cran.r-project.org/src/contrib/Archive/timereg/timereg_1.9.4.tar.gz
        - https://cran.r-project.org/src/contrib/timereg_1.9.4.tar.gz
build:
    merge_build_host: true
    number: '1'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r40hda5aaf8_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 2020.0 166
        - 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-pcre2 10.34 0
        - 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 4.0.0 h588f722_3
        - r-lattice 0.20_41 r40hda5aaf8_2
        - r-lava 1.6.7 r40h6115d3f_1
        - r-matrix 1.2_18 r40h0adb578_3
        - r-numderiv 2016.8_1.1 r40h6115d3f_2
        - r-squarem 2020.2 r40h6115d3f_1
        - r-survival 3.1_12 r40hda5aaf8_1
    run:
        - m2w64-gcc-libs
        - r-base >=4.0,<4.1.0a0
        - r-lava
        - r-numderiv
        - r-survival
test:
    commands:
        - '"%R%" -e "library(''timereg'')"'
about:
    home: https://github.com/scheike/timereg.git
    license: GPL (>= 2)
    license_family: GPL3
    license_file: D:\bld\r-timereg_1588566195833\_h_env/lib/R/share/licenses/GPL-3
    summary: Programs for Martinussen and Scheike (2006), `Dynamic Regression Models
        for Survival Data', Springer Verlag.  Plus more recent developments. Additive
        survival model, semiparametric proportional odds model, fast cumulative residuals,
        excess risk models and more. Flexible competing risks regression including
        GOF-tests. Two-stage frailty modelling. PLS for the additive risk model. Lasso
        in the 'ahaz' package.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
