{% set version = '4.7-1.1' %}

{% set posix = 'm2-' if win else '' %}
{% set native = 'm2w64-' if win else '' %}

package:
  name: r-randomforest
  version: {{ version|replace("-", "_") }}

source:
  url:
    - {{ cran_mirror }}/src/contrib/randomForest_{{ version }}.tar.gz
    - {{ cran_mirror }}/src/contrib/Archive/randomForest/randomForest_{{ version }}.tar.gz
  sha256: f59ea87534480edbcd6baf53d7ec57e8c69f4532c2d2528eacfd48924efa2cd6

build:
  merge_build_host: True  # [win]
  # If this is a new build for the same version, increment the build number.
  number: 0
  # no skip

  # This is required to make R link correctly on Linux.
  rpaths:
    - lib/R/lib/
    - lib/

# Suggests: RColorBrewer, MASS
requirements:
  build:
    - {{ compiler('c') }}              # [not win]
    - {{ compiler('m2w64_c') }}        # [win]
    - {{ compiler('fortran') }}        # [not win]
    - {{ compiler('m2w64_fortran') }}  # [win]
    - {{ posix }}filesystem        # [win]
    - {{ posix }}make
    - {{ posix }}sed               # [win]
    - {{ posix }}coreutils         # [win]
    - {{ posix }}zip               # [win]

  host:
    - r-base

  run:
    - r-base
    - {{native}}gcc-libs         # [win]

test:
  commands:
    # You can put additional test commands to be run here.
    - $R -e "library('randomForest')"           # [not win]
    - "\"%R%\" -e \"library('randomForest')\""  # [win]

  # You can also put a file called run_test.py, run_test.sh, or run_test.bat
  # in the recipe that will be run at test time.

  # requires:
    # Put any additional test requirements here.

about:
  home: https://www.stat.berkeley.edu/~breiman/RandomForests/
  license: GPL-2
  summary: Classification and regression based on a forest of trees using random inputs, based
    on Breiman (2001) <DOI:10.1023/A:1010933404324>.
  license_family: GPL2
  license_file:
    - '{{ environ["PREFIX"] }}/lib/R/share/licenses/GPL-2'

extra:
  recipe-maintainers:
    - johanneskoester
    - bgruening
    - mingwandroid

# The original CRAN metadata for this package was:

# Package: randomForest
# Title: Breiman and Cutler's Random Forests for Classification and Regression
# Version: 4.7-1.1
# Date: 2022-01-24
# Depends: R (>= 4.1.0), stats
# Suggests: RColorBrewer, MASS
# Author: Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.
# Description: Classification and regression based on a forest of trees using random inputs, based on Breiman (2001) <DOI:10.1023/A:1010933404324>.
# Maintainer: Andy Liaw <andy_liaw@merck.com>
# License: GPL (>= 2)
# URL: https://www.stat.berkeley.edu/~breiman/RandomForests/
# NeedsCompilation: yes
# Packaged: 2022-05-23 08:06:39 UTC; hornik
# Repository: CRAN
# Date/Publication: 2022-05-23 08:27:49 UTC

# See
# https://docs.conda.io/projects/conda-build for
# more information about meta.yaml