mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Version 5.2.3

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.

AuthorChris Fraley [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre], Thomas Brendan Murphy [ctb], Michael Fop [ctb]
Date of publication2017-03-13 13:18:28
MaintainerLuca Scrucca <luca.scrucca@unipg.it>
LicenseGPL (>= 2)
Version5.2.3
URL http://www.stat.washington.edu/mclust/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("mclust")

Getting started

Package overview
A quick tour of **mclust**

Popular man pages

adjustedRandIndex: Adjusted Rand Index
imputeData: Missing Data Imputation via the 'mix' package
mclustBootstrapLRT: Bootstrap Likelihood Ratio Test for the Number of Mixture...
mclustICL: ICL Criterion for Model-Based Clustering
mclust-package: Normal Mixture Modeling for Model-Based Clustering,...
plot.Mclust: Plot Model-Based Clustering Results
plot.mclustBIC: BIC Plot for Model-Based Clustering
See all...

All man pages Function index File listing

Man pages

acidity: Acidity data
adjustedRandIndex: Adjusted Rand Index
banknote: Swiss banknotes data
Baudry_etal_2010_JCGS_examples: Simulated Example Datasets From Baudry et al. (2010)
bic: BIC for Parameterized Gaussian Mixture Models
cdens: Component Density for Parameterized MVN Mixture Models
cdensE: Component Density for a Parameterized MVN Mixture Model
cdfMclust: Cumulative Distribution and Quantiles for a univariate...
chevron: Simulated minefield data
classError: Classification error
clPairs: Pairwise Scatter Plots showing Classification
clustCombi: Combining Gaussian Mixture Components for Clustering
clustCombi-internals: Internal clustCombi functions
combiPlot: Plot Classifications Corresponding to Successive Combined...
combMat: Combining Matrix
coordProj: Coordinate projections of multidimensional data modeled by an...
covw: Weighted means, covariance and scattering matrices...
cross: Simulated Cross Data
cvMclustDA: MclustDA cross-validation
decomp2sigma: Convert mixture component covariances to matrix form.
defaultPrior: Default conjugate prior for Gaussian mixtures.
dens: Density for Parameterized MVN Mixtures
densityMclust: Density Estimation via Model-Based Clustering
densityMclust.diagnostic: Diagnostic plots for 'mclustDensity' estimation
diabetes: Diabetes data
em: EM algorithm starting with E-step for parameterized Gaussian...
emControl: Set control values for use with the EM algorithm.
emE: EM algorithm starting with E-step for a parameterized...
entPlot: Plot Entropy Plots
errorBars: Draw error bars on a plot
estep: E-step for parameterized Gaussian mixture models.
estepE: E-step in the EM algorithm for a parameterized Gaussian...
GvHD: GvHD Dataset
hc: Model-based Hierarchical Clustering
hcE: Model-based Hierarchical Clustering
hclass: Classifications from Hierarchical Agglomeration
hypvol: Aproximate Hypervolume for Multivariate Data
icl: ICL for an estimated Gaussian Mixture Model
imputeData: Missing Data Imputation via the 'mix' package
imputePairs: Pairwise Scatter Plots showing Missing Data Imputations
logLik.Mclust: Log-Likelihood of a 'Mclust' object
logLik.MclustDA: Log-Likelihood of a 'MclustDA' object
map: Classification given Probabilities
mapClass: Correspondence between classifications.
Mclust: Model-Based Clustering
mclust1Dplot: Plot one-dimensional data modeled by an MVN mixture.
mclust2Dplot: Plot two-dimensional data modelled by an MVN mixture.
mclustBIC: BIC for Model-Based Clustering
MclustBootstrap: Resampling-based Inference for Gaussian finite mixture models
mclustBootstrapLRT: Bootstrap Likelihood Ratio Test for the Number of Mixture...
MclustDA: MclustDA discriminant analysis
mclust-deprecated: Deprecated Functions in mclust package
MclustDR: Dimension reduction for model-based clustering and...
mclustICL: ICL Criterion for Model-Based Clustering
mclust-internal: Internal MCLUST functions
mclustModel: Best model based on BIC
mclustModelNames: MCLUST Model Names
mclust.options: Default values for use with MCLUST package
mclust-package: Normal Mixture Modeling for Model-Based Clustering,...
mclustVariance: Template for variance specification for parameterized...
me: EM algorithm starting with M-step for parameterized MVN...
meE: EM algorithm starting with M-step for a parameterized...
me.weighted: EM algorithm with weights starting with M-step for...
mstep: M-step for parameterized Gaussian mixture models.
mstepE: M-step for a parameterized Gaussian mixture model.
mvn: Univariate or Multivariate Normal Fit
mvnX: Univariate or Multivariate Normal Fit
nMclustParams: Number of Estimated Parameters in Gaussian Mixture Models
nVarParams: Number of Variance Parameters in Gaussian Mixture Models
partconv: Numeric Encoding of a Partitioning
partuniq: Classifies Data According to Unique Observations
plot.clustCombi: Plot Combined Clusterings Results
plot.densityMclust: Plots for Mixture-Based Density Estimate
plot.Mclust: Plot Model-Based Clustering Results
plot.mclustBIC: BIC Plot for Model-Based Clustering
plot.MclustBoostrap: Plot of bootstrap distributions for mixture model parameters
plot.MclustDA: Plotting method for MclustDA discriminant analysis
plot.MclustDR: Plotting method for dimension reduction for model-based...
plot.mclustICL: ICL Plot for Model-Based Clustering
predict.densityMclust: Density estimate of multivariate observations by Gaussian...
predict.Mclust: Cluster multivariate observations by Gaussian finite mixture...
predict.MclustDA: Classify multivariate observations by Gaussian finite mixture...
predict.MclustDR: Classify multivariate observations on a dimension reduced...
print.clustCombi: Displays Combined Clusterings Results
priorControl: Conjugate Prior for Gaussian Mixtures.
randomPairs: Random hierarchical structure
randProj: Random projections of multidimensional data modeled by an MVN...
sigma2decomp: Convert mixture component covariances to decomposition form.
sim: Simulate from Parameterized MVN Mixture Models
simE: Simulate from a Parameterized MVN Mixture Model
summary.Mclust: Summarizing Gaussian Finite Mixture Model Fits
summary.mclustBIC: Summary function for model-based clustering via BIC
summary.MclustBootstrap: Summary Function for Bootstrap Inference for Gaussian Finite...
summary.MclustDA: Summarizing discriminant analysis based on Gaussian finite...
summary.MclustDR: Summarizing dimension reduction method for model-based...
surfacePlot: Density or uncertainty surface for bivariate mixtures.
thyroid: Thyroid gland data
uncerPlot: Uncertainty Plot for Model-Based Clustering
unmap: Indicator Variables given Classification
wreath: Data Simulated from a 14-Component Mixture

Functions

Files

inst
inst/CITATION
inst/NEWS
inst/doc
inst/doc/mclust.R
inst/doc/mclust.Rmd
inst/doc/index.html
inst/doc/mclust4.pdf
inst/doc/mclust-weights.pdf
inst/doc/mclust.html
src
src/Makevars
src/mclustaddson.f
src/init.c
src/mclust.f
NAMESPACE
data
data/Baudry_etal_2010_JCGS_examples.rda
data/acidity.rda
data/thyroid.rda
data/chevron.rda
data/GvHD.rda
data/wreath.rda
data/cross.rda
data/diabetes.rda
data/banknote.txt.gz
R
R/mclust.R
R/mclustdr.R
R/bootstrap.R
R/mclustaddson.R
R/densityMclust.R
R/mclustda.R
R/icl.R
R/weights.R
R/clustCombi.R
R/options.R
R/init.R
R/util.R
R/zzz.R
vignettes
vignettes/mclust.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/em.Rd
man/simE.Rd
man/acidity.Rd
man/surfacePlot.Rd
man/me.Rd
man/logLik.MclustDA.Rd
man/dens.Rd
man/meE.Rd
man/densityMclust.Rd
man/hypvol.Rd
man/clustCombi.Rd
man/plot.densityMclust.Rd
man/mclustVariance.Rd
man/plot.MclustDR.Rd
man/estep.Rd
man/chevron.Rd
man/map.Rd
man/mclust-package.Rd
man/mclust2Dplot.Rd
man/partuniq.Rd
man/plot.clustCombi.Rd
man/classError.Rd
man/wreath.Rd
man/logLik.Mclust.Rd
man/mclustBIC.Rd
man/combMat.Rd
man/Baudry_etal_2010_JCGS_examples.Rd
man/MclustBootstrap.Rd
man/mclustICL.Rd
man/mvnX.Rd
man/plot.mclustBIC.Rd
man/errorBars.Rd
man/priorControl.Rd
man/mstepE.Rd
man/estepE.Rd
man/cross.Rd
man/clustCombi-internals.Rd
man/hclass.Rd
man/mclustBootstrapLRT.Rd
man/adjustedRandIndex.Rd
man/imputePairs.Rd
man/mclustModelNames.Rd
man/randProj.Rd
man/summary.mclustBIC.Rd
man/mapClass.Rd
man/emE.Rd
man/summary.Mclust.Rd
man/bic.Rd
man/emControl.Rd
man/cdensE.Rd
man/randomPairs.Rd
man/partconv.Rd
man/mclust-internal.Rd
man/entPlot.Rd
man/GvHD.Rd
man/predict.Mclust.Rd
man/decomp2sigma.Rd
man/MclustDA.Rd
man/mstep.Rd
man/print.clustCombi.Rd
man/nVarParams.Rd
man/predict.MclustDR.Rd
man/cdens.Rd
man/unmap.Rd
man/mclustModel.Rd
man/hcE.Rd
man/hc.Rd
man/coordProj.Rd
man/cdfMclust.Rd
man/densityMclust.diagnostic.Rd
man/cvMclustDA.Rd
man/combiPlot.Rd
man/mclust1Dplot.Rd
man/clPairs.Rd
man/banknote.Rd
man/plot.mclustICL.Rd
man/covw.Rd
man/summary.MclustDR.Rd
man/predict.MclustDA.Rd
man/thyroid.Rd
man/Mclust.Rd
man/plot.MclustDA.Rd
man/mvn.Rd
man/imputeData.Rd
man/diabetes.Rd
man/MclustDR.Rd
man/summary.MclustDA.Rd
man/summary.MclustBootstrap.Rd
man/plot.Mclust.Rd
man/uncerPlot.Rd
man/sigma2decomp.Rd
man/nMclustParams.Rd
man/mclust.options.Rd
man/icl.Rd
man/me.weighted.Rd
man/mclust-deprecated.Rd
man/plot.MclustBoostrap.Rd
man/sim.Rd
man/predict.densityMclust.Rd
man/defaultPrior.Rd
mclust documentation built on May 19, 2017, 5:38 p.m.

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