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: 4.4
Depends: R (≥ 2.15), stats, utils
Suggests: mix
Published: 2014-09-16
Author: Chris Fraley, Adrian Raftery and Luca Scrucca
Maintainer: Luca Scrucca <luca at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
In views: Cluster, Environmetrics, Multivariate
CRAN checks: mclust results


Reference manual: mclust.pdf
Package source: mclust_4.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: mclust_4.4.tgz, r-oldrel: mclust_4.4.tgz
OS X Mavericks binaries: r-release: mclust_4.4.tgz
Old sources: mclust archive

Reverse dependencies:

Reverse depends: Bclim, BiSEp, chemometrics, clustvarsel, CNprep, CNVassoc, EMCC, GESTr, LifeTables, MetabolAnalyze, MixGHD, msos, npde, prabclus, robustDA, Simpsons, SQN, tclust, upclass
Reverse imports: Bchron, ChemoSpec, clustMD, expands, flexCWM, fpc, msir, semiArtificial, SNPMClust, VBLPCM, vscc
Reverse suggests: ChemometricsWithR, clusterfly, clValid, CorReg, HSAUR, HSAUR2, HSAUR3, LogConcDEAD, MVA, qVarSel, RankAggreg, rebmix, REdaS, robustfa, rrcov, StatDA
Reverse enhances: clue