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: 4.3
Depends: R (≥ 2.15), stats, utils
Suggests: mix
Published: 2014-03-31
Author: Chris Fraley, Adrian Raftery and Luca Scrucca
Maintainer: Luca Scrucca <luca at stat.unipg.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.stat.washington.edu/mclust/
NeedsCompilation: yes
Materials: NEWS
In views: Cluster, Environmetrics, Multivariate
CRAN checks: mclust results

Downloads:

Reference manual: mclust.pdf
Vignettes: Using weights in mclust
MCLUST ver. 4 - Manual
Package source: mclust_4.3.tar.gz
MacOS X binary: mclust_4.3.tgz
Windows binary: mclust_4.3.zip
Old sources: mclust archive

Reverse dependencies:

Reverse depends: Bclim, BiSEp, chemometrics, clustvarsel, CNprep, CNVassoc, EMCC, fpc, GESTr, LifeTables, MetabolAnalyze, msos, npde, prabclus, Simpsons, SQN, upclass
Reverse imports: Bchron, ChemoSpec, CorReg, expands, flexCWM, msir, semiArtificial, SNPMClust, VBLPCM, vscc
Reverse suggests: ARAMIS, ChemometricsWithR, clValid, HSAUR, HSAUR2, LogConcDEAD, MVA, RankAggreg, rebmix, robustfa, rrcov, StatDA
Reverse enhances: clue