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: 5.4.7
Depends: R (≥ 3.0)
Imports: stats, utils, graphics, grDevices
Suggests: knitr (≥ 1.12), rmarkdown (≥ 0.9), mix (≥ 1.0), geometry (≥ 0.3-6), MASS
Published: 2020-11-20
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, Multivariate
CRAN checks: mclust results

Downloads:

Reference manual: mclust.pdf
Vignettes: A quick tour of mclust
Package source: mclust_5.4.7.tar.gz
Windows binaries: r-devel: mclust_5.4.7.zip, r-devel-UCRT: mclust_5.4.7.zip, r-release: mclust_5.4.7.zip, r-oldrel: mclust_5.4.7.zip
macOS binaries: r-release (arm64): mclust_5.4.7.tgz, r-release (x86_64): mclust_5.4.7.tgz, r-oldrel: mclust_5.4.7.tgz
Old sources: mclust archive

Reverse dependencies:

Reverse depends: baggingbwsel, BiSEp, clustvarsel, CNprep, cqn, EBcoexpress, fdm2id, FEAST, FitUltD, GESTr, HDoutliers, HyperG, IntNMF, LifeTables, LPKsample, manet, MBCbook, MetabolAnalyze, MineICA, msos, netresponse, prabclus, probout, puma, robustDA, SC.MEB, SCATE, Simpsons, SNPMClust, SpeCond, SQN, SummarizedBenchmark
Reverse imports: activityGCMM, airpart, AneuFinder, autocogs, baggedcv, BayesSpace, Bchron, beadplexr, BimodalIndex, binnednp, bootcluster, bpgmm, Cardinal, chemometrics, CHMM, ClassDiscovery, Cluster.OBeu, clustMD, cogena, cola, ContaminatedMixt, cytometree, CytoTree, dCUR, deepgmm, diceR, DIscBIO, doseR, dsb, DuoClustering2018, EMMIXgene, evaluomeR, evclust, exomePeak2, expSBM, fabMix, FCBF, FCPS, FishResp, flexCWM, fpc, genefu, GREMLINS, HGC, HMMmlselect, IMIFA, IMIX, InTAD, integIRTy, ks, KScorrect, latrend, linkspotter, Linnorm, LMest, LogConcDEAD, LUCIDus, MAINT.Data, maSigPro, Melissa, mem, MesKit, methylKit, minfi, miRSM, MoEClust, mombf, msir, multiClust, multiviewtest, nethet, npde, oclust, odseq, oncomix, optCluster, OptimaRegion, otrimle, pathVar, PINSPlus, pivmet, PoDCall, ppgmmga, PredPsych, pRoloc, qch, rCGH, RclusTool, RCSL, RJcluster, rliger, rties, SAGMM, sasfunclust, sBIC, scDD, SCORPIUS, scPipe, scutr, SIBERG, sigQC, SimBindProfiles, sojourner, sovereign, spaceNet, splinetree, tidyLPA, TipDatingBeast, TSCAN, tsrobprep, VBLPCM, vimpclust, vscc, WACS, wavClusteR, wevid, XINA
Reverse suggests: AdaptGauss, arrayQuality, bayestestR, broom, ChemoSpec, chromswitch, CiteFuse, clusternomics, clValid, coca, condvis2, datawizard, dcanr, factoextra, greed, HDCytoData, HSAUR, HSAUR2, HSAUR3, insight, klic, KSD, liayson, maftools, MineICA, motifcluster, MultIS, MVA, NewWave, optimCheck, OTclust, parameters, RankAggreg, RCSL, REdaS, rexposome, Ringo, RnBeads, robustfa, SC3, scDHA, scone, see, shipunov, simplifyEnrichment, slingshot, StatDA, tclust, Umpire, varclust
Reverse enhances: clue, MixSim

Linking:

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