{% set version = "1.2.0" %}
{% set posix = 'm2-' if win else '' %}
{% set native = 'm2w64-' if win else '' %}

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

source:
  url:
    - {{ cran_mirror }}/src/contrib/matrixStats_{{ version }}.tar.gz
    - {{ cran_mirror }}/src/contrib/Archive/matrixStats/matrixStats_{{ version }}.tar.gz
  sha256: e403c12e597283f80097092d133be8e8d002f20f8286748acd5b908a7fa54573

build:
  merge_build_host: true  # [win]
  number: 0
  rpaths:
    - lib/R/lib/
    - lib/

requirements:
  build:
    - cross-r-base {{ r_base }}  # [build_platform != target_platform]
    - {{ compiler('c') }}              # [not win]
    - {{ compiler('m2w64_c') }}        # [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:
    - $R -e "library('matrixStats')"           # [not win]
    - "\"%R%\" -e \"library('matrixStats')\""  # [win]

about:
  home: https://github.com/HenrikBengtsson/matrixStats
  license: Artistic-2.0
  summary: High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds().  Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized.  There are also optimized vector-based methods, e.g.
    binMeans(), madDiff() and weightedMedian().
  license_family: OTHER
  license_file:
    - {{ environ["PREFIX"] }}/lib/R/share/licenses/Artistic-2.0

extra:
  recipe-maintainers:
    - conda-forge/r

# Package: matrixStats
# Version: 0.55.0
# Depends: R (>= 2.12.0)
# Suggests: base64enc, ggplot2, knitr, microbenchmark, R.devices, R.rsp
# VignetteBuilder: R.rsp
# Title: Functions that Apply to Rows and Columns of Matrices (and to Vectors)
# Authors@R: c( person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"), email="henrikb@braju.com"), person("Hector", "Corrada Bravo", role="ctb"), person("Robert", "Gentleman", role="ctb"), person("Ola", "Hossjer", role="ctb"), person("Harris", "Jaffee", role="ctb"), person("Dongcan", "Jiang", role="ctb"), person("Peter", "Langfelder", role="ctb"), person("Peter", "Hickey", role="ctb"), person("Brian", "Montgomery", role="ctb"))
# Author: Henrik Bengtsson [aut, cre, cph], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb], Peter Hickey [ctb], Brian Montgomery [ctb]
# Maintainer: Henrik Bengtsson <henrikb@braju.com>
# Description: High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds().  Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized.  There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
# License: Artistic-2.0
# LazyLoad: TRUE
# NeedsCompilation: yes
# ByteCompile: TRUE
# URL: https://github.com/HenrikBengtsson/matrixStats
# BugReports: https://github.com/HenrikBengtsson/matrixStats/issues
# RoxygenNote: 6.1.1
# Packaged: 2019-09-06 06:24:24 UTC; hb
# Repository: CRAN
# Date/Publication: 2019-09-07 16:50:15 UTC