{% set version = '1.4-0' %}
{% set posix = 'm2-' if win else '' %}
{% set native = 'm2w64-' if win else '' %}

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

source:
  url:
    - {{ cran_mirror }}/src/contrib/flexclust_{{ version }}.tar.gz
    - {{ cran_mirror }}/src/contrib/Archive/flexclust/flexclust_{{ version }}.tar.gz
  sha256: 82fe445075a795c724644864c7ee803c5dd332a89ea9e6ccf7cd1ae2d1ecfc74

build:
  merge_build_host: True  # [win]
  number: 2
  rpaths:
    - lib/R/lib/
    - lib/

requirements:
  build:
    - {{ 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
    - r-class
    - r-lattice
    - r-modeltools
  run:
    - r-base
    - {{ native }}gcc-libs         # [win]
    - r-class
    - r-lattice
    - r-modeltools

test:
  commands:
    - $R -e "library('flexclust')"           # [not win]
    - "\"%R%\" -e \"library('flexclust')\""  # [win]

about:
  home: https://CRAN.R-project.org/package=flexclust
  license: GPL-2.0-only
  summary: The main function kcca implements a general framework for k-centroids cluster analysis
    supporting arbitrary distance measures and centroid computation. Further cluster
    methods include hard competitive learning, neural gas, and QT clustering. There
    are numerous visualization methods for cluster results (neighborhood graphs, convex
    cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis
    of cluster stability.
  license_family: GPL2
  license_file: '{{ environ["PREFIX"] }}/lib/R/share/licenses/GPL-2'

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

# Package: flexclust
# Version: 1.4-0
# Date: 2018-09-20
# Authors@R: c(person(given="Friedrich", family="Leisch", email="Friedrich.Leisch@R-project.org", role=c("aut", "cre"), comment = c(ORCID = "0000-0001-7278-1983")), person(given="Evgenia", family="Dimitriadou", role="ctb"), person("Bettina", "Gruen", role = "aut", comment = c(ORCID = "0000-0001-7265-4773")))
# Title: Flexible Cluster Algorithms
# Depends: R (>= 2.14.0), graphics, grid, lattice, modeltools
# Imports: methods, parallel, stats, stats4, class
# Suggests: ellipse, clue, cluster, seriation, skmeans
# Description: The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.
# License: GPL-2
# LazyLoad: yes
# NeedsCompilation: yes
# Packaged: 2018-09-20 11:08:49 UTC; leisch
# Author: Friedrich Leisch [aut, cre] (<https://orcid.org/0000-0001-7278-1983>), Evgenia Dimitriadou [ctb], Bettina Gruen [aut] (<https://orcid.org/0000-0001-7265-4773>)
# Maintainer: Friedrich Leisch <Friedrich.Leisch@R-project.org>
# Repository: CRAN
# Date/Publication: 2018-09-24 22:50:03 UTC
