Package: mclustAddons 0.10

mclustAddons: Addons for the 'mclust' Package

Extend the functionality of the 'mclust' package for Gaussian finite mixture modeling by including: density estimation for data with bounded support (Scrucca, 2019 <doi:10.1002/bimj.201800174>); modal clustering using MEM (Modal EM) algorithm for Gaussian mixtures (Scrucca, 2021 <doi:10.1002/sam.11527>); entropy estimation via Gaussian mixture modeling (Robin & Scrucca, 2023 <doi:10.1016/j.csda.2022.107582>); Gaussian mixtures modeling of financial log-returns (Scrucca, 2024 <doi:10.3390/e26110907>).

Authors:Luca Scrucca [aut, cre, cph]

mclustAddons_0.10.tar.gz
mclustAddons_0.10.zip(r-4.7)mclustAddons_0.10.zip(r-4.6)mclustAddons_0.10.zip(r-4.5)
mclustAddons_0.10.tgz(r-4.6-x86_64)mclustAddons_0.10.tgz(r-4.6-arm64)mclustAddons_0.10.tgz(r-4.5-x86_64)mclustAddons_0.10.tgz(r-4.5-arm64)
mclustAddons_0.10.tar.gz(r-4.7-arm64)mclustAddons_0.10.tar.gz(r-4.7-x86_64)mclustAddons_0.10.tar.gz(r-4.6-arm64)mclustAddons_0.10.tar.gz(r-4.6-x86_64)
mclustAddons_0.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mclustAddons/json (API)
NEWS

# Install 'mclustAddons' in R:
install.packages('mclustAddons', repos = c('https://luca-scr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mclust-org/mclustaddons/issues

Pkgdown/docs site:https://mclust-org.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

2.70 score 8 scripts 332 downloads 27 exports 34 dependencies

Last updated from:24bfec2b06. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK178
linux-devel-x86_64OK146
source / vignettesOK250
linux-release-arm64OK148
linux-release-x86_64OK127
macos-release-arm64OK156
macos-release-x86_64OK244
macos-oldrel-arm64OK110
macos-oldrel-x86_64OK165
windows-develOK151
windows-releaseOK141
windows-oldrelOK129
wasm-releaseOK133

Exports:as.densityMclustBoundedas.MclustBoundedbits2natscdfDensityBoundeddensityMclustBoundeddensityMclustBounded.diagnosticEntropyGaussEntropyGMMESGaussianMixtureMEMgmm2margParamsGMMlogreturnhypcube_lhshypcube_smchypvolgmmhypvolgmm_hdlevelhypvoltmvnormhypvolunifMclustBoundedMclustBoundedParametersmclustMarginalParamsMclustMEMnats2bitsquantileDensityBoundedrangepowerBackTransformrangepowerTransformVaR

Dependencies:base64encbslibcachemclicodetoolsdigestdoParalleldoRNGevaluatefastmapfontawesomeforeachfshighrhtmltoolsiteratorsjquerylibjsonliteknitrlifecyclemclustmemoisemimeR6rappdirsRcppRcppArmadillorlangrmarkdownrngtoolssasstinytexxfunyaml

A quick tour of mclustAddons

Luca Scrucca

Rendered frommclustAddons.Rmdusingknitr::rmarkdownon May 10 2026.

Last update: 2024-11-13
Started: 2021-09-29

Readme and manuals

Help Manual

Help pageTopics
Cumulative distribution and quantiles of univariate model-based mixture density estimation for bounded datacdfDensityBounded densityMclustBounded.diagnostic quantileDensityBounded
Model-based mixture density estimation for bounded datadensityMclustBounded print.densityMclustBounded print.summary.densityMclustBounded summary.densityMclustBounded
Gaussian mixture-based estimation of entropybits2nats EntropyGauss EntropyGMM EntropyGMM.data.frame EntropyGMM.densityMclust EntropyGMM.densityMclustBounded EntropyGMM.matrix EntropyGMM.Mclust nats2bits
Modal EM algorithm for Gaussian MixturesGaussianMixtureMEM
Modeling log-returns distribution via Gaussian Mixture ModelsGMMlogreturn summary.GMMlogreturn
Gold price log-returnsgold
Latin Hypercube Samplinghypcube_lhs
Simple Monte Carlo Samplinghypcube_smc
Gaussian mixture-based hypervolume estimation of multivariate datahypvolgmm
Default HDR level defining the GMM hullhypvolgmm_hdlevel
Approximate hypervolume for multivariate datahypvoltmvnorm
Approximate hypervolume for multivariate datahypvolunif
Internal 'mclustAddons' functionsas.densityMclustBounded as.densityMclustBounded.default as.densityMclustBounded.MclustBounded as.MclustBounded as.MclustBounded.default as.MclustBounded.densityMclustBounded mclustAddons-internal
Model-based clustering for bounded dataMclustBounded print.MclustBounded print.summary.MclustBounded summary.MclustBounded
Recover parameters in the original scaleMclustBoundedParameters
Marginal parameters from fitted GMMs via mclustgmm2margParams mclustMarginalParams
Modal EM algorithm for Gaussian Mixtures fitted via _mclust_ packageMclustMEM print.MclustMEM print.summary.MclustMEM summary.MclustMEM
Plotting method for model-based mixture density estimation for bounded dataplot.densityMclustBounded
Plotting method for model-based clustering of bounded dataplot.MclustBounded
Plotting method for modal-clustering based on Gaussian Mixturesplot.MclustMEM
Model-based mixture density estimation for bounded datapredict.densityMclustBounded
Model-based clustering estimation for bounded datapredict.MclustBounded
Racial dataracial
Range–power transformationrangepowerBackTransform rangepowerTransform
Suicide datasuicide
Financial risk measuresES VaR
Risk measures from Gaussian mixtures modelingES.GMMlogreturn VaR.GMMlogreturn