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:	6.1.2
Depends:	R (≥ 3.0)
Imports:	stats, utils, graphics, grDevices
Suggests:	knitr (≥ 1.4), rmarkdown (≥ 2.10), mix (≥ 1.0), geometry (≥ 0.4), MASS
Published:	2025-10-31
DOI:	10.32614/CRAN.package.mclust
Author:	Chris Fraley [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre], Thomas Brendan Murphy [ctb], Michael Fop [ctb]
Maintainer:	Luca Scrucca <luca.scrucca at unibo.it>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://mclust-org.github.io/mclust/
NeedsCompilation:	yes
Citation:	mclust citation info
Materials:	NEWS
In views:	Cluster, Distributions, Environmetrics
CRAN checks:	mclust results

Documentation:

Reference manual:	mclust.html , mclust.pdf
Vignettes:	A quick tour of mclust (source, R code)

Downloads:

Package source:	mclust_6.1.2.tar.gz
Windows binaries:	r-devel: mclust_6.1.2.zip, r-release: mclust_6.1.2.zip, r-oldrel: mclust_6.1.2.zip
macOS binaries:	r-release (arm64): mclust_6.1.2.tgz, r-oldrel (arm64): mclust_6.1.2.tgz, r-release (x86_64): mclust_6.1.2.tgz, r-oldrel (x86_64): mclust_6.1.2.tgz
Old sources:	mclust archive

Reverse dependencies:

Reverse depends:	baggingbwsel, clustvarsel, CNprep, cqn, EBcoexpress, FEAST, FitUltD, GenProSeq, HDoutliers, HyperG, IntNMF, iPath, LPKsample, manet, MBCbook, mclustAddons, MetabolAnalyze, MineICA, msos, netresponse, probout, puma, robustDA, SpeCond, SQN, VAExprs
Reverse imports:	airpart, AMISforInfectiousDiseases, AnimalSequences, autocogs, Banksy, batchCorr, bayesCureRateModel, BayesCVI, BayesSpace, BCClong, Bchron, beadplexr, BimodalIndex, bootcluster, bpgmm, cemco, chemometrics, CHMM, CICA, clap, ClassDiscovery, clickb, clustAnalytics, Cluster.OBeu, clusterMI, clusterWebApp, clustMD, clustTMB, cogena, cola, ContaminatedMixt, CrossClustering, cytometree, daltoolbox, dCUR, deepgmm, diceR, DIscBIO, do3PCA, doseR, doubletrouble, DR.SC, drcte, dsb, DuoClustering2018, EMMIXgene, evaluomeR, evprof, expSBM, fabMix, FCPS, fdm2id, flexCWM, FourWayHMM, fpc, funIHC, FuzzySpec, genefu, geocausal, GeometricMorphometricsMix, GloScope, GMMinit, GridOnClusters, HDCD, HGC, iClusterVB, ICSClust, idiffomix, IMIFA, IMIX, immunaut, InTAD, integIRTy, JANE, ks, KScorrect, linkspotter, Linnorm, LMest, lnmCluster, LogConcDEAD, LOMAR, LUCIDus, Luminescence, MAINT.Data, maSigPro, MatrixHMM, mem, MesKit, MetabolSSMF, metasnf, methylKit, minfi, miRSM, MixtureMissing, modelSelection, MoEClust, mombf, Morpho, MSclust, msir, mtlgmm, multiClust, nethet, norMmix, npde, oclust, odseq, oncomix, opGMMassessment, otrimle, OutSeekR, PINSPlus, pivmet, PoDCall, PPbigdata, ppgmmga, prabclus, PRECAST, PredPsych, ProFAST, projectLSA, pRoloc, PUGMM, PureCN, rCGH, RChASM, RGMM, robCompositions, saemix, SAGMM, sBIC, scDD, scDDboost, scDesign3, scHiCcompare, SCORPIUS, scPipe, scutr, sharp, shinyWGD, SIBERG, smartid, sovereign, spaceNet, splinetree, stIHC, theftdlc, tidyLPA, TipDatingBeast, TSCAN, tsrobprep, UniversalCVI, UpDown, VBLPCM, vimpclust, vscc, WACS, wavClusteR, wevid, XINA
Reverse suggests:	AdaptGauss, andrews, arrayQuality, autonomics, bayestestR, broom, ccImpute, CerioliOutlierDetection, ChemoSpec, CiteFuse, clusternomics, clValid, cmbClust, coca, condvis2, dcanr, Evacluster, factoextra, FactorHet, HDCytoData, HSAUR, HSAUR2, HSAUR3, IBclust, insight, klic, latrend, maftools, MineICA, mixedLSR, mlr3cluster, motifcluster, MSclassifR, mulgar, MVA, NewWave, optimCheck, OTclust, parameters, performance, PIUMA, QuadratiK, qVarSel, RankAggreg, RCSL, RCTS, REdaS, rexposome, RnBeads, robustfa, SC3, scDHA, scISR, scone, scReClassify, see, SillyPutty, simplifyEnrichment, slingshot, starvz, StatDA, tclust, telescope, tidylearn, tidySEM, Umpire, varclust
Reverse enhances:	clue, MixSim

Linking:

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