# This file created by conda-build 3.21.7
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Sat Jan  8 15:03:49 2022
# ------------------------------------------------

package:
  name: r-castor
  version: 1.7.2
source:
  sha256: 16eab18d921486c002bf5487ce465b43c2ae062e5d5eaa4ba0815c90cfec7504
  url:
    - https://cran.r-project.org/src/contrib/Archive/castor/castor_1.7.2.tar.gz
    - https://cran.r-project.org/src/contrib/castor_1.7.2.tar.gz
build:
  merge_build_host: true
  number: '0'
  rpaths:
    - lib/
    - lib/R/lib/
  string: r40ha856d6a_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 12_win64_mkl
    - liblapack 3.9.0 12_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-nlopt 2.4.2 3
    - 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 2021.4.0 h0e2418a_729
    - msys2-conda-epoch 20160418 1
    - r-base 4.0.5 hddad469_4
    - r-lattice 0.20_45 r40h6d2157b_0
    - r-matrix 1.4_0 r40hd2e18ed_0
    - r-naturalsort 0.1.3 r40hc72bb7e_1003
    - r-nloptr 1.2.2.3 r40h96779af_0
    - r-rcpp 1.0.7 r40ha856d6a_0
    - r-rcppeigen 0.3.3.9.1 r40h399f8d5_0
    - r-rspectra 0.16_0 r40h399f8d5_4
    - tbb 2021.5.0 h2d74725_0
    - ucrt 10.0.20348.0 h57928b3_0
    - vc 14.2 hb210afc_5
    - vs2015_runtime 14.29.30037 h902a5da_5
  run:
    - m2w64-gcc-libs
    - r-base >=4.0,<4.1.0a0
    - r-matrix
    - r-naturalsort
    - r-nloptr
    - r-rcpp >=0.12.10
    - r-rspectra
test:
  commands:
    - '"%R%" -e "library(''castor'')"'
about:
  home: https://CRAN.R-project.org/package=castor
  license: GPL-2.0-or-later
  license_family: GPL2
  license_file:
    - D:\bld\r-castor_1641654647273\_h_env/lib/R/share/licenses/GPL-2
  summary: 'Efficient phylogenetic analyses on massive phylogenies comprising up to
    millions of tips. Functions include pruning, rerooting, calculation of most-recent
    common ancestors, calculating distances from the tree root and calculating pairwise
    distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism),
    ancestral state reconstruction and hidden character prediction of discrete characters,
    simulating and fitting models of trait evolution, fitting and simulating diversification
    models, dating trees, comparing trees, and reading/writing trees in Newick format.
    Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.'
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - conda-forge/r
    - gavinmdouglas
