mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

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.

Version: 5.2
Depends: R (≥ 3.0)
Imports: stats, utils, graphics, grDevices
Suggests: knitr (≥ 1.12), rmarkdown (≥ 0.9), mix (≥ 1.0)
Published: 2016-03-31
Author: Chris Fraley [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre], Thomas Brendan Murphy [ctb], Michael Fop [ctb]
Maintainer: Luca Scrucca <luca at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: mclust citation info
Materials: NEWS
In views: Cluster, Distributions, Environmetrics, Multivariate
CRAN checks: mclust results


Reference manual: mclust.pdf
Vignettes: A quick tour of mclust
Package source: mclust_5.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: mclust_5.2.tgz, r-oldrel: mclust_5.2.tgz
Old sources: mclust archive

Reverse dependencies:

Reverse depends: BiSEp, clustvarsel, CNprep, CNVassoc, GESTr, IntNMF, LifeTables, MetabolAnalyze, msir, msos, npde, prabclus, qclust, robustDA, scvxclustr, Simpsons, SNPMClust, SQN, tclust, Traitspace, treeHFM, upclass, WACS
Reverse imports: AdaptGauss, BANFF, Bchron, Bclim, chemometrics, clustMD, CONDOP, ContaminatedMixt, CorReg, expands, flexCWM, fpc, kamila, kinn, KScorrect, MEclustnet, optCluster, otrimle, robCompositions, sBIC, semiArtificial, TipDatingBeast, VBLPCM, vscc, yCrypticRNAs
Reverse suggests: broom, ChemometricsWithR, ChemoSpec, clusterfly, clusternomics, clValid, HSAUR, HSAUR2, HSAUR3, Infusion, KSD, LogConcDEAD, mixpack, MVA, qVarSel, RankAggreg, rebmix, REdaS, robustfa, rrcov, StatDA
Reverse enhances: clue, MixSim


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