mclust: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation

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

Version: 4.1
Depends: R (≥ 2.15), stats, utils
Suggests: mix
Published: 2013-05-01
Author: Chris Fraley, Adrian Raftery and Luca Scrucca
Maintainer: Luca Scrucca <luca at stat.unipg.it>
License: GPL (≥ 2)
URL: http://www.stat.washington.edu/mclust/
NeedsCompilation: yes
In views: Cluster, Environmetrics, Multivariate
CRAN checks: mclust results

Downloads:

Package source: mclust_4.1.tar.gz
MacOS X binary: mclust_4.1.tgz
Windows binary: mclust_4.1.zip
Reference manual: mclust.pdf
Vignettes: Using weights in mclust
MCLUST ver. 4 - Manual
News/ChangeLog:ChangeLog
Old sources: mclust archive

Reverse dependencies:

Reverse depends: Bclim, chemometrics, CNVassoc, EMCC, fpc, GESTr, LifeTables, MetabolAnalyze, msir, npde, prabclus, SDisc, Simpsons, SQN, SRMA, tclust, upclass, VBLPCM
Reverse imports: ChemoSpec, SNPMClust
Reverse suggests: ARAMIS, ChemometricsWithR, clValid, HSAUR, HSAUR2, LogConcDEAD, MVA, RankAggreg, rebmix, robustfa, rrcov, StatDA
Reverse enhances: clue