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mclust
Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
View on CRAN: Click
here
Download and install mclust package within the R console
Install from CRAN:
install.packages("mclust")
Install from Github:
library("remotes")
install_github("cran/mclust") Install by package version:
library("remotes")
install_version("mclust", "6.1.2") Attach the package and use:
library("mclust")
Maintained by
Luca Scrucca
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 1999-11-04
Latest Update: 2024-04-29
Description:
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.
How to cite:
Luca Scrucca (1999). mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation. R package version 6.1.2, https://cran.r-project.org/web/packages/mclust. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:28), 1.1-1 (1999-11-04 17:32), 1.1-2 (2001-01-25 11:24), 1.1-3 (2001-05-09 11:37), 1.1-4 (2001-11-29 14:34), 1.1-5 (2001-12-12 16:07), 1.1-6 (2002-02-15 07:41), 1.1-7 (2002-04-26 17:51), 2.0-1 (2002-10-09 13:45), 2.0-2 (2002-10-23 08:57), 2.0-3 (2002-11-16 22:30), 2.1-0 (2003-03-26 13:55), 2.1-1 (2003-04-23 10:56), 2.1-2 (2003-10-14 17:52), 2.1-3 (2004-02-19 09:39), 2.1-4 (2004-03-02 18:19), 2.1-5 (2004-03-19 23:27), 2.1-6 (2004-09-28 09:54), 2.1-7 (2004-12-10 19:25), 2.1-8 (2005-01-18 12:58), 2.1-9 (2005-04-28 12:48), 2.1-10 (2005-05-11 18:29), 2.1-11 (2005-05-30 12:57), 2.1-12 (2006-03-24 10:15), 2.1-13 (2006-09-08 10:00), 2.1-14 (2006-09-14 19:48), 3.0-0 (2006-10-04 10:10), 3.1-0 (2007-01-25 10:06), 3.1-1 (2007-03-01 17:18), 3.1-2 (2007-11-17 11:41), 3.1-3 (2008-02-14 20:47), 3.1-4 (2008-05-16 23:05), 3.1-5 (2008-05-19 09:25), 3.1-6 (2008-08-21 18:50), 3.1-7 (2008-09-19 08:56), 3.1-8 (2008-09-29 20:45), 3.1-9 (2008-10-08 09:11), 3.1-10.3 (2009-03-08 17:11), 3.1-10 (2008-11-30 20:21), 3.2.1 (2009-06-19 18:39), 3.2 (2009-04-29 19:56), 3.3.1 (2009-07-01 14:03), 3.3.2 (2009-10-13 10:20), 3.4.1 (2010-01-22 20:00), 3.4.2 (2010-02-13 09:23), 3.4.3 (2010-02-20 08:50), 3.4.4 (2010-04-08 08:08), 3.4.5 (2010-07-24 22:21), 3.4.6 (2010-08-10 16:17), 3.4.7 (2010-10-23 12:21), 3.4.8 (2010-12-12 10:11), 3.4.9 (2011-05-28 17:25), 3.4.10 (2011-05-30 06:33), 3.4.11 (2012-01-07 17:15), 3.4 (2009-12-16 09:09), 3.5 (2012-07-22 17:10), 4.0 (2012-08-09 19:14), 4.1 (2013-05-01 09:33), 4.2 (2013-07-19 12:54), 4.3 (2014-03-31 13:09), 4.4 (2014-09-16 11:58), 5.0.0 (2015-04-09 12:12), 5.0.1 (2015-04-22 12:27), 5.0.2 (2015-07-08 13:50), 5.1 (2015-10-27 08:10), 5.2.1 (2017-01-03 17:09), 5.2.2 (2017-01-22 12:38), 5.2.3 (2017-03-13 13:18), 5.2 (2016-03-31 17:39), 5.3 (2017-05-21 10:26), 5.4.1 (2018-06-27 16:58), 5.4.2 (2018-11-17 12:50), 5.4.3 (2019-03-14 15:10), 5.4.4 (2019-06-27 16:00), 5.4.5 (2019-07-08 20:51), 5.4.6 (2020-04-11 16:30), 5.4.7 (2020-11-20 11:40), 5.4.8 (2021-11-05 13:40), 5.4.9 (2021-12-17 16:10), 5.4.10 (2022-05-20 11:10), 5.4 (2017-11-22 11:22), 6.0.0 (2022-10-31 11:57), 6.0.1 (2023-11-15 11:00), 6.1.1 (2024-04-29 18:40), 6.1.2 (2025-10-31 12:40), 6.1 (2024-02-23 10:50)
Other packages that cited mclust R package
View mclust citation profile
Other R packages that mclust depends,
imports, suggests or enhances
Complete documentation for mclust
Functions, R codes and Examples using
the mclust R package
Some associated functions: Baudry_etal_2010_JCGS_examples . BrierScore . EuroUnemployment . GvHD . Mclust . MclustBootstrap . MclustDA . MclustDR . MclustDRsubsel . MclustSSC . acidity . adjustedRandIndex . banknote . bic . cdens . cdensE . cdfMclust . chevron . clPairs . classError . classPriorProbs . clustCombi-internals . clustCombi . clustCombiOptim . combMat . combiPlot . combiTree . coordProj . covw . crimcoords . cross . cvMclustDA . decomp2sigma . defaultPrior . dens . densityMclust.diagnostic . densityMclust . diabetes . dmvnorm . dupPartition . em . emControl . emE . entPlot . errorBars . estep . estepE . gmmhd . hc . hcE . hcRandomPairs . hclass . hdrlevels . hypvol . icl . imputeData . imputePairs . logLik.Mclust . logLik.MclustDA . majorityVote . map . mapClass . mclust-deprecated . mclust-internal . mclust-package . mclust.options . mclust1Dplot . mclust2Dplot . mclustBIC . mclustBICupdate . mclustBootstrapLRT . mclustICL . mclustLoglik . mclustModel . mclustModelNames . mclustVariance . me . me.weighted . meE . mstep . mstepE . mvn . mvnX . nMclustParams . nVarParams . partconv . partuniq . plot.Mclust . plot.MclustBoostrap . plot.MclustDA . plot.MclustDR . plot.MclustSSC . plot.clustCombi . plot.densityMclust . plot.hc . plot.mclustBIC . plot.mclustICL . predict.Mclust . predict.MclustDA . predict.MclustDR . predict.MclustSSC . predict.densityMclust . priorControl . randProj . randomOrthogonalMatrix . sigma2decomp . sim . simE . summary.Mclust . summary.MclustBootstrap . summary.MclustDA . summary.MclustDR . summary.MclustSSC . summary.mclustBIC . surfacePlot . thyroid . uncerPlot . unmap . wdbc . wreath .
Some associated R codes: bootstrap.R . clustCombi.R . densityMclust.R . gmmhd.R . graphics.R . icl.R . impute.R . mbahc.R . mclust.R . mclustaddson.R . mclustda.R . mclustdr.R . mclustssc.R . options.R . toremove.R . util.R . weights.R . zzz.R . Full mclust package functions and examples
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