Package: mclustAddons 0.8

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>).

Authors:Luca Scrucca [aut, cre]

mclustAddons_0.8.tar.gz
mclustAddons_0.8.zip(r-4.5)mclustAddons_0.8.zip(r-4.4)mclustAddons_0.8.zip(r-4.3)
mclustAddons_0.8.tgz(r-4.4-x86_64)mclustAddons_0.8.tgz(r-4.4-arm64)mclustAddons_0.8.tgz(r-4.3-x86_64)mclustAddons_0.8.tgz(r-4.3-arm64)
mclustAddons_0.8.tar.gz(r-4.5-noble)mclustAddons_0.8.tar.gz(r-4.4-noble)
mclustAddons_0.8.tgz(r-4.4-emscripten)mclustAddons_0.8.tgz(r-4.3-emscripten)
mclustAddons.pdf |mclustAddons.html
mclustAddons/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

26 exports 0.09 score 6 dependencies 3 scripts 256 downloads

Last updated 7 months agofrom:45e3a0515a. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 31 2024
R-4.5-win-x86_64NOTEAug 31 2024
R-4.5-linux-x86_64NOTEAug 31 2024
R-4.4-win-x86_64OKAug 31 2024
R-4.4-mac-x86_64OKAug 31 2024
R-4.4-mac-aarch64OKAug 31 2024
R-4.3-win-x86_64OKAug 31 2024
R-4.3-mac-x86_64OKAug 31 2024
R-4.3-mac-aarch64OKAug 31 2024

Exports:bits2natscdfDensityBoundeddensityMclustBoundeddensityMclustBounded.diagnosticEntropyGaussEntropyGMMEntropyGMM.data.frameEntropyGMM.densityMclustEntropyGMM.densityMclustBoundedEntropyGMM.matrixEntropyGMM.MclustGaussianMixtureMEMMclustMEMnats2bitsplot.densityMclustBoundedplot.MclustMEMpredict.densityMclustBoundedprint.densityMclustBoundedprint.MclustMEMprint.summary.densityMclustBoundedprint.summary.MclustMEMquantileDensityBoundedrangepowerBackTransformrangepowerTransformsummary.densityMclustBoundedsummary.MclustMEM

Dependencies:codetoolsforeachiteratorsmclustRcppRcppArmadillo

A quick tour of mclustAddons

Rendered frommclustAddons.Rmdusingknitr::rmarkdownon Aug 31 2024.

Last update: 2024-03-02
Started: 2021-09-29

Readme and manuals

Help Manual

Help pageTopics
Addons for the 'mclust' packagemclustAddons-package mclustAddons
Cumulative distribution and quantiles of univariate model-based mixture density estimation for bounded datacdfDensityBounded quantileDensityBounded
Model-based mixture density estimation for bounded datadensityMclustBounded print.densityMclustBounded print.summary.densityMclustBounded summary.densityMclustBounded
Diagnostic plots for 'mclustDensityBounded' estimationdensityMclustBounded.diagnostic
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
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 modal-clustering based on Gaussian Mixturesplot.MclustMEM
Model-based mixture density estimation for bounded datapredict.densityMclustBounded
Racial dataracial
Range–power transformationrangepowerBackTransform rangepowerTransform
Suicide datasuicide