r-mclust

Summary

Normal Mixture Modelling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian regularization.

Versions

  • 5.1

License

GPL (>= 2)

Meta

package:
  name: r-mclust
  # Note that conda versions cannot contain -, so any -'s in the version have
  # been replaced with _'s.
  version: "5.1"

source:
  fn: mclust_5.1.tar.gz
  url:
    - http://cran.r-project.org/src/contrib/mclust_5.1.tar.gz
    - http://cran.r-project.org/src/contrib/Archive/mclust/mclust_5.1.tar.gz


  # You can add a hash for the file here, like md5 or sha1
  # md5: 49448ba4863157652311cc5ea4fea3ea
  # sha1: 3bcfbee008276084cbb37a2b453963c61176a322
  # patches:
   # List any patch files here
   # - fix.patch

build:
  # If this is a new build for the same version, increment the build
  # number. If you do not include this key, it defaults to 0.
  number: 0

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

# Suggests: knitr (>= 1.8), rmarkdown (>= 0.6), mix
requirements:
  build:
    - r
    - gcc # [not win]

  run:
    - r
    - libgcc # [not win]

test:
  commands:
    # You can put additional test commands to be run here.
    - $R -e "library('mclust')" # [not win]
    - "\"%R%\" -e \"library('mclust')\"" # [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: http://www.stat.washington.edu/mclust/
  license: GPL (>= 2)
  summary: Normal Mixture Modelling fitted via EM algorithm for Model-Based Clustering, Classification,
    and Density Estimation, including Bayesian regularization.

# The original CRAN metadata for this package was:

# Package: mclust
# Version: 5.1
# Date: 2015-10-24
# Authors@R: c(person("Chris", "Fraley", role = "aut"), person("Adrian E.", "Raftery", role = "aut"), person("Luca", "Scrucca", role = c("aut", "cre"), email = "luca@stat.unipg.it"), person("Thomas Brendan", "Murphy", role = "ctb"), person("Michael", "Fop", role = "ctb"))
# Title: Normal Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
# Description: Normal Mixture Modelling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian regularization.
# Depends: R (>= 3.0)
# Imports: stats, utils, graphics, grDevices
# Suggests: knitr (>= 1.8), rmarkdown (>= 0.6), mix
# License: GPL (>= 2)
# URL: http://www.stat.washington.edu/mclust/
# VignetteBuilder: knitr
# Repository: CRAN
# ByteCompile: true
# LazyLoad: yes
# NeedsCompilation: yes
# Packaged: 2015-10-26 17:30:30 UTC; luca
# Author: Chris Fraley [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre], Thomas Brendan Murphy [ctb], Michael Fop [ctb]
# Maintainer: Luca Scrucca <luca@stat.unipg.it>
# Date/Publication: 2015-10-27 08:10:04

# See
# http://docs.continuum.io/conda/build.html for
# more information about meta.yaml