# This file created by conda-build 3.21.8
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Wed Mar  2 17:23:47 2022
# ------------------------------------------------

package:
  name: r-ape
  version: '5.6_2'
source:
  sha256: 9b62450a0390a1f07df007d348ad4cedcd814d42cb11c5a300ed33550fd41257
  url:
    - https://cran.r-project.org/src/contrib/Archive/ape/ape_5.6-2.tar.gz
    - https://cran.r-project.org/src/contrib/ape_5.6-2.tar.gz
build:
  merge_build_host: true
  number: '0'
  rpaths:
    - lib/
    - lib/R/lib/
  string: r40h399f8d5_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
    - libblas 3.8.0 11_h8933c1f_netlib
    - liblapack 3.8.0 11_h8933c1f_netlib
    - 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
    - msys2-conda-epoch 20160418 1
    - r-base 4.0.5 hddad469_4
    - r-lattice 0.20_45 r40h6d2157b_0
    - r-nlme 3.1_155 r40he816bda_0
    - r-rcpp 1.0.8 r40ha856d6a_0
  run:
    - libblas >=3.8.0,<4.0a0
    - liblapack >=3.8.0,<4.0a0
    - m2w64-gcc-libs
    - r-base >=4.0,<4.1.0a0
    - r-lattice
    - r-nlme
    - r-rcpp >=0.12.0
test:
  commands:
    - '"%R%" -e "library(''ape'')"'
about:
  home: http://ape-package.ird.fr/
  license: GPL-2.0-or-later
  license_family: GPL3
  license_file: D:\bld\r-ape_1646242197498\_h_env/lib/R/share/licenses/GPL-2
  summary: Functions for reading, writing, plotting, and manipulating phylogenetic
    trees, analyses of comparative data in a phylogenetic framework, ancestral character
    analyses, analyses of diversification and macroevolution, computing distances
    from DNA sequences, reading and writing nucleotide sequences as well as importing
    from BioConductor, and several tools such as Mantel's test, generalized skyline
    plots, graphical exploration of phylogenetic data (alex, trex, kronoviz), estimation
    of absolute evolutionary rates and clock-like trees using mean path lengths and
    penalized likelihood, dating trees with non-contemporaneous sequences, translating
    DNA into AA sequences, and assessing sequence alignments. Phylogeny estimation
    can be done with the NJ, BIONJ, ME, MVR, SDM, and triangle methods, and several
    methods handling incomplete distance matrices (NJ*, BIONJ*, MVR*, and the corresponding
    triangle method). Some functions call external applications (PhyML, Clustal, T-Coffee,
    Muscle) whose results are returned into R.
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - conda-forge/r
