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✨
DESCRIPTION |NEWS
card.svg |card.png
mclustAddons/json (API)

# 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:

gold - Gold price log-returns
racial - Racial data
suicide - Suicide data

On CRAN:

cpp

2.70 score 10 scripts 202 downloads 27 exports 34 dependencies

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

Target	Result	Time
linux-devel-arm64	OK	136
linux-devel-x86_64	OK	169
source / vignettes	OK	253
linux-release-arm64	OK	144
linux-release-x86_64	OK	199
macos-release-arm64	OK	107
macos-release-x86_64	OK	310
macos-oldrel-arm64	OK	119
macos-oldrel-x86_64	OK	281
windows-devel	OK	148
windows-release	OK	119
windows-oldrel	OK	185
wasm-release	OK	130

Exports:as.densityMclustBounded as.MclustBounded bits2nats cdfDensityBounded densityMclustBounded densityMclustBounded.diagnostic EntropyGauss EntropyGMM ES GaussianMixtureMEM gmm2margParams GMMlogreturn hypcube_lhs hypcube_smc hypvolgmm hypvolgmm_hdlevel hypvoltmvnorm hypvolunif MclustBounded MclustBoundedParameters mclustMarginalParams MclustMEM nats2bits quantileDensityBounded rangepowerBackTransform rangepowerTransform VaR

Dependencies:base64enc bslib cachem cli codetools digest doParallel doRNG evaluate fastmap fontawesome foreach fs highr htmltools iterators jquerylib jsonlite knitr lifecycle mclust memoise mime R6 rappdirs Rcpp RcppArmadillo rlang rmarkdown rngtools sass tinytex xfun yaml

A quick tour of mclustAddons

Rendered frommclustAddons.Rmdusingknitr::rmarkdown

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

Help page	Topics
Cumulative distribution and quantiles of univariate model-based mixture density estimation for bounded data	cdfDensityBounded densityMclustBounded.diagnostic quantileDensityBounded
Model-based mixture density estimation for bounded data	densityMclustBounded print.densityMclustBounded print.summary.densityMclustBounded summary.densityMclustBounded
Gaussian mixture-based estimation of entropy	bits2nats EntropyGauss EntropyGMM EntropyGMM.data.frame EntropyGMM.densityMclust EntropyGMM.densityMclustBounded EntropyGMM.matrix EntropyGMM.Mclust nats2bits
Modal EM algorithm for Gaussian Mixtures	GaussianMixtureMEM
Modeling log-returns distribution via Gaussian Mixture Models	GMMlogreturn summary.GMMlogreturn
Gold price log-returns	gold
Latin Hypercube Sampling	hypcube_lhs
Simple Monte Carlo Sampling	hypcube_smc
Gaussian mixture-based hypervolume estimation of multivariate data	hypvolgmm
Default HDR level defining the GMM hull	hypvolgmm_hdlevel
Approximate hypervolume for multivariate data	hypvoltmvnorm
Approximate hypervolume for multivariate data	hypvolunif
Internal 'mclustAddons' functions	as.densityMclustBounded as.densityMclustBounded.default as.densityMclustBounded.MclustBounded as.MclustBounded as.MclustBounded.default as.MclustBounded.densityMclustBounded mclustAddons-internal
Model-based clustering for bounded data	MclustBounded print.MclustBounded print.summary.MclustBounded summary.MclustBounded
Recover parameters in the original scale	MclustBoundedParameters
Marginal parameters from fitted GMMs via mclust	gmm2margParams mclustMarginalParams
Modal EM algorithm for Gaussian Mixtures fitted via _mclust_ package	MclustMEM print.MclustMEM print.summary.MclustMEM summary.MclustMEM
Plotting method for model-based mixture density estimation for bounded data	plot.densityMclustBounded
Plotting method for model-based clustering of bounded data	plot.MclustBounded
Plotting method for modal-clustering based on Gaussian Mixtures	plot.MclustMEM
Model-based mixture density estimation for bounded data	predict.densityMclustBounded
Model-based clustering estimation for bounded data	predict.MclustBounded
Racial data	racial
Range–power transformation	rangepowerBackTransform rangepowerTransform
Suicide data	suicide
Financial risk measures	ES VaR
Risk measures from Gaussian mixtures modeling	ES.GMMlogreturn VaR.GMMlogreturn

Package: mclustAddons 0.10

mclustAddons: Addons for the 'mclust' Package

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)