# This file created by conda-build 2.1.18
# meta.yaml template originally from:
# C:\projects\r-cvst-feedstock\recipe, last modified Mon Feb 19 22:11:07 2018
# ------------------------------------------------

package:
    name: r-cvst
    version: '0.2_1'
source:
    fn: CVST_0.2-1.tar.gz
    sha256: a27fd2bfa778fce9b9a68d2b9206c66af27b3c36a973dd45ce673886a267aa9f
    url:
        - https://cran.r-project.org/src/contrib/CVST_0.2-1.tar.gz
        - https://cran.r-project.org/src/contrib/Archive/CVST/CVST_0.2-1.tar.gz
build:
    noarch: ''
    noarch_python: false
    number: '0'
    rpaths:
        - lib/R/lib/
        - lib/
    string: r3.3.2_0
requirements:
    build:
        - m2-msys2-runtime 2.5.0.17080.65c939c 3
        - m2-libcrypt 1.3 2
        - m2-libexpat 2.1.1 2
        - m2-gcc-libs 5.3.0 4
        - m2-heimdal-libs 1.5.3 10
        - r-kernlab 0.9_25 r3.3.2_0
        - m2-libidn 1.32 2
        - m2-info 6.0 2
        - m2w64-make 4.1.2351.a80a8b8 2
        - m2w64-libxml2 2.9.3 4
        - m2-bash 4.3.042 5
        - m2-ncurses 6.0.20160220 2
        - m2-libintl 0.19.7 4
        - m2w64-speexdsp 1.2rc3 3
        - m2-icu 56.1 2
        - m2w64-tktable 2.10 5
        - m2w64-headers-git 5.0.0.4636.c0ad18a 2
        - m2-gmp 6.1.0 3
        - m2w64-fftw 3.3.4 6
        - m2w64-gettext 0.19.7 2
        - m2w64-gcc-objc 5.3.0 6
        - m2w64-mpfr 3.1.4 4
        - r-matrix 1.2_7.1 r3.3.2_0
        - m2-gzip 1.7 2
        - m2-findutils 4.6.0 2
        - m2-libdb 5.3.28 3
        - m2w64-gcc-ada 5.3.0 6
        - m2-libgdbm 1.11 4
        - m2-texinfo 6.0 2
        - m2-curl 7.47.1 3
        - m2w64-binutils 2.25.1 5
        - r-base 3.3.2 5
        - m2-libpcre 8.38 2
        - m2-libtasn1 4.7 2
        - m2-libp11-kit 0.23.2 2
        - m2-p11-kit 0.23.2 2
        - m2w64-toolchain 5.3.0 7
        - m2w64-gcc-libgfortran 5.3.0 6
        - m2-db 5.3.28 3
        - m2-coreutils 8.25 102
        - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
        - m2w64-wineditline 2.101 5
        - m2w64-libogg 1.3.2 3
        - m2w64-mpc 1.0.3 3
        - m2-libiconv 1.14 3
        - m2-openssl 1.0.2.g 2
        - m2w64-libjpeg-turbo 1.4.2 3
        - m2w64-pcre 8.38 2
        - m2w64-libpng 1.6.21 2
        - m2w64-isl 0.16.1 2
        - m2w64-crt-git 5.0.0.4636.2595836 2
        - m2-texinfo-tex 6.0 2
        - m2-perl 5.22.1 2
        - m2-libmetalink 0.1.2 3
        - m2w64-libtiff 4.0.6 2
        - m2w64-windows-default-manifest 6.4 3
        - m2w64-bzip2 1.0.6 6
        - m2w64-tcl 8.6.5 3
        - m2w64-libmangle-git 5.0.0.4509.2e5a9a2 2
        - m2w64-tk 8.6.5 3
        - m2-libffi 3.2.1 2
        - m2-less 481 2
        - m2w64-pkg-config 0.29.1 2
        - m2w64-bwidget 1.9.10 2
        - m2w64-zlib 1.2.8 10
        - m2w64-gcc-libs 5.3.0 7
        - m2-p7zip 9.38.1 2
        - m2w64-gsl 2.1 2
        - m2w64-winpthreads-git 5.0.0.4634.697f757 2
        - m2-libcurl 7.47.1 3
        - m2-libopenssl 1.0.2.g 2
        - m2-ca-certificates 20150426 103
        - m2-zlib 1.2.8 4
        - m2-sed 4.2.2 3
        - m2w64-tools-git 5.0.0.4592.90b8472 2
        - m2w64-flac 1.3.1 3
        - m2w64-libvorbis 1.3.5 2
        - m2-libreadline 6.3.008 8
        - msys2-conda-epoch 20160418 1
        - m2w64-gcc-fortran 5.3.0 6
        - m2w64-xz 5.2.2 2
        - m2-gdbm 1.11 4
        - m2w64-libiconv 1.14 6
        - m2w64-gcc-libs-core 5.3.0 7
        - m2-libsqlite 3.10.0.0 2
        - m2-libssh2 1.6.0 2
        - r-lattice 0.20_34 r3.3.2_0
        - m2w64-gcc 5.3.0 6
        - m2w64-expat 2.1.1 2
        - m2-libedit 3.1 20150326
        - m2w64-speex 1.2rc2 3
        - m2w64-gmp 6.1.0 2
        - m2w64-libsndfile 1.0.26 2
    run:
        - r-base
        - r-matrix
        - r-kernlab
test:
    commands:
        - '"%R%" -e "library(''CVST'')"'
about:
    home: https://CRAN.R-project.org/package=CVST
    license: GPL (>= 2.0)
    license_family: GPL3
    license_file: C:\bld\r-cvst_1519078424504\_b_env\R\share\licenses\GPL-3
    summary: This package implements the fast cross-validation via sequential testing
        (CVST) procedure. CVST is an improved cross-validation procedure which uses
        non-parametric testing coupled with sequential analysis to determine the best
        parameter set on linearly increasing subsets of the data. By eliminating underperforming
        candidates quickly and keeping promising candidates as long as possible, the
        method speeds up the computation while preserving the capability of a full
        cross-validation. Additionally to the CVST the package contains an implementation
        of the ordinary k-fold cross-validation with a flexible and powerful set of
        helper objects and methods to handle the overall model selection process.
        The implementations of the Cochran's Q test with permutations and the sequential
        testing framework of Wald are generic and can therefore also be used in other
        contexts.
extra:
    final: true
    recipe-maintainers:
        - cbrueffer
        - johanneskoester
        - bgruening
        - daler
        - jdblischak
