# This file created by conda-build 3.21.8
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Mon May 16 19:27:42 2022
# ------------------------------------------------

package:
  name: r-gbj
  version: 0.5.3
source:
  sha256: 100b3ba8aff707212dc24872d3e15886adb0382a01cbed848567fcce666b9a8a
  url:
    - https://cran.r-project.org/src/contrib/Archive/GBJ/GBJ_0.5.3.tar.gz
    - https://cran.r-project.org/src/contrib/GBJ_0.5.3.tar.gz
build:
  merge_build_host: true
  number: '0'
  rpaths:
    - lib/
    - lib/R/lib/
  string: r41ha856d6a_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-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 2022.0.0 h57928b3_3663
    - libblas 3.9.0 14_win64_mkl
    - liblapack 3.9.0 14_win64_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 3
    - 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 2022.0.0 h0e2418a_796
    - msys2-conda-epoch 20160418 1
    - r-base 4.1.3 hddad469_1
    - r-bh 1.78.0_0 r41hc72bb7e_0
    - r-lattice 0.20_45 r41h6d2157b_0
    - r-matrix 1.4_1 r41hd2e18ed_0
    - r-mvtnorm 1.1_3 r41he816bda_0
    - r-rcpp 1.0.8.3 r41ha856d6a_0
    - r-rcppeigen 0.3.3.9.2 r41h399f8d5_0
    - r-rspectra 0.16_1 r41h399f8d5_0
    - r-skat 2.2.4 r41ha856d6a_0
    - r-spatest 3.1.2 r41hc72bb7e_0
    - tbb 2021.5.0 h2d74725_1
    - ucrt 10.0.20348.0 h57928b3_0
    - vc 14.2 hb210afc_6
    - vs2015_runtime 14.29.30037 h902a5da_6
  run:
    - m2w64-gcc-libs
    - r-base >=4.1,<4.2.0a0
    - r-mvtnorm
    - r-rcpp >=0.12.7
    - r-skat
test:
  commands:
    - '"%R%" -e "library(''GBJ'')"'
about:
  home: https://CRAN.R-project.org/package=GBJ
  license: GPL-3.0-only
  license_family: GPL3
  license_file:
    - D:\bld\r-gbj_1652729550303\_h_env/lib/R/share/licenses/GPL-3
  summary: Offers the Generalized Berk-Jones (GBJ) test for set-based inference in
    genetic association studies. The GBJ is designed as an alternative to tests such
    as Berk-Jones (BJ), Higher Criticism (HC), Generalized Higher Criticism (GHC),
    Minimum p-value (minP), and Sequence Kernel Association Test (SKAT). All of these
    other methods (except for SKAT) are also implemented in this package, and we additionally
    provide an omnibus test (OMNI) which integrates information from each of the tests.
    The GBJ has been shown to outperform other tests in genetic association studies
    when signals are correlated and moderately sparse. Please see the vignette for
    a quickstart guide or the paper at <doi:10.1080/01621459.2019.1660170> for full
    details.
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - conda-forge/r
    - nirwan1265
