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
Depends: R (≥ 3.0)
Imports: stats, utils, graphics, grDevices
Suggests: knitr (≥ 1.4), rmarkdown (≥ 2.10), mix (≥ 1.0), geometry (≥ 0.4), MASS
Published: 2024-02-23
Author: Chris Fraley [aut], Adrian E. Raftery ORCID iD [aut], Luca Scrucca ORCID iD [aut, cre], Thomas Brendan Murphy ORCID iD [ctb], Michael Fop ORCID iD [ctb]
Maintainer: Luca Scrucca <luca.scrucca at unipg.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.pdf
Vignettes: A quick tour of mclust

Downloads:

Package source: mclust_6.1.tar.gz
Windows binaries: r-devel: mclust_6.1.zip, r-release: mclust_6.1.zip, r-oldrel: mclust_6.1.zip
macOS binaries: r-release (arm64): mclust_6.1.tgz, r-oldrel (arm64): mclust_6.1.tgz, r-release (x86_64): mclust_6.1.tgz
Old sources: mclust archive

Reverse dependencies:

Reverse depends: BiSEp, clustvarsel, CNprep, cqn, EBcoexpress, FEAST, FitUltD, GenProSeq, HDoutliers, HyperG, IntNMF, iPath, LifeTables, LPKsample, manet, mclustAddons, MetabolAnalyze, MineICA, msos, netresponse, prabclus, probout, puma, robustDA, SC.MEB, SCATE, SpeCond, SQN, SummarizedBenchmark, VAExprs
Reverse imports: airpart, AneuFinder, autocogs, BayesCVI, BayesSpace, BCClong, Bchron, beadplexr, BimodalIndex, bootcluster, bpgmm, Cardinal, cemco, chemometrics, CHMM, CICA, ClassDiscovery, clickb, clustAnalytics, Cluster.OBeu, clusterHD, clusterMI, clustMD, cogena, cola, ContaminatedMixt, cytometree, dCUR, deepgmm, diceR, DIscBIO, doseR, doubletrouble, DR.SC, drcte, dsb, DuoClustering2018, em, EMMIXgene, evaluomeR, evclust, evprof, exomePeak2, expSBM, fabMix, FCPS, fdm2id, FishResp, flexCWM, FourWayHMM, fpc, genefu, geocausal, GloScope, GridOnClusters, hdbayes, HDCD, HGC, HMMmlselect, ICSClust, IMIFA, IMIX, InTAD, integIRTy, ks, KScorrect, linkspotter, Linnorm, LMest, lnmCluster, LogConcDEAD, LOMAR, LUCIDus, Luminescence, MAINT.Data, maSigPro, Melissa, mem, MesKit, methylKit, minfi, miRSM, MixtureMissing, MoEClust, mombf, MSclassifR, MSclust, msir, mtlgmm, multiClust, nethet, npde, oclust, odseq, oncomix, opGMMassessment, otrimle, perms, PINSPlus, pivmet, PoDCall, ppgmmga, PRECAST, PredPsych, ProFAST, pRoloc, PureCN, QuadratiK, rCGH, RclusTool, RGMM, RJcluster, robCompositions, rties, saemix, SAGMM, sasfunclust, sBIC, scDD, scDDboost, scDesign3, SCORPIUS, scPipe, ScRNAIMM, scutr, SenTinMixt, sharp, SIBERG, sigQC, SimBindProfiles, sovereign, spaceNet, splinetree, theftdlc, tidyLPA, TipDatingBeast, TSCAN, tsrobprep, UniversalCVI, UpDown, VBLPCM, vimpclust, vscc, WACS, wavClusteR, wevid, XINA
Reverse suggests: AdaptGauss, andrews, arrayQuality, bayestestR, broom, ccImpute, CerioliOutlierDetection, ChemoSpec, CiteFuse, clusternomics, clValid, coca, condvis2, dcanr, Evacluster, factoextra, HDCytoData, HSAUR, HSAUR2, HSAUR3, insight, klic, KSD, latrend, maftools, MineICA, mixedLSR, mlr3cluster, motifcluster, mulgar, MultIS, MVA, NewWave, optimCheck, OTclust, parameters, performance, RankAggreg, RCSL, RCTS, REdaS, rexposome, Ringo, RnBeads, robustfa, SC3, scDHA, scISR, scone, scReClassify, see, shipunov, SillyPutty, simplifyEnrichment, slingshot, starvz, StatDA, tclust, tidySEM, Umpire, varclust
Reverse enhances: clue, MixSim

Linking:

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