Package: mclust
Version: 5.4
Date: 2017-11-21
Title: Gaussian Mixture Modelling for Model-Based Clustering,
        Classification, and Density Estimation
Description: Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
Authors@R: c(person("Chris", "Fraley", role = "aut"),
             person("Adrian E.", "Raftery", role = "aut"),
             person("Luca", "Scrucca", role = c("aut", "cre"),
                    email = "luca.scrucca@unipg.it"),
             person("Thomas Brendan", "Murphy", role = "ctb"),
             person("Michael", "Fop", role = "ctb"))
Depends: R (>= 3.0)
Imports: stats, utils, graphics, grDevices
Suggests: knitr (>= 1.12), rmarkdown (>= 0.9), mix (>= 1.0), geometry
        (>= 0.3-6), MASS
License: GPL (>= 2)
URL: http://www.stat.washington.edu/mclust/
VignetteBuilder: knitr
Repository: CRAN
ByteCompile: true
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2017-11-21 15:00:11 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.scrucca@unipg.it>
Date/Publication: 2017-11-22 10:21:55 UTC
Built: R 3.2.5; x86_64-apple-darwin13.4.0; 2017-11-23 06:03:54 UTC; unix
Archs: mclust.so.dSYM
