Package: mclustAddonsEHA 0.7.2

Luca Scrucca

mclustAddonsEHA: FORK of original 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 [cre], Noam Ross [aut, ctb]

mclustAddonsEHA_0.7.2.tar.gz
mclustAddonsEHA_0.7.2.zip(r-4.5)mclustAddonsEHA_0.7.2.zip(r-4.4)mclustAddonsEHA_0.7.2.zip(r-4.3)
mclustAddonsEHA_0.7.2.tgz(r-4.4-x86_64)mclustAddonsEHA_0.7.2.tgz(r-4.4-arm64)mclustAddonsEHA_0.7.2.tgz(r-4.3-x86_64)mclustAddonsEHA_0.7.2.tgz(r-4.3-arm64)
mclustAddonsEHA_0.7.2.tar.gz(r-4.5-noble)mclustAddonsEHA_0.7.2.tar.gz(r-4.4-noble)
mclustAddonsEHA_0.7.2.tgz(r-4.4-emscripten)mclustAddonsEHA_0.7.2.tgz(r-4.3-emscripten)
mclustAddonsEHA.pdf |mclustAddonsEHA.html✨
mclustAddonsEHA/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/ecohealthalliance/mclustaddonseha/issues

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

On CRAN:

2.00 score 26 exports 6 dependencies

Last updated 9 months agofrom:5e94a1f8c1 (on working). Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-win-x86_64NOTENov 17 2024
R-4.5-linux-x86_64NOTENov 17 2024
R-4.4-win-x86_64NOTENov 17 2024
R-4.4-mac-x86_64NOTENov 17 2024
R-4.4-mac-aarch64NOTENov 17 2024
R-4.3-win-x86_64NOTENov 17 2024
R-4.3-mac-x86_64NOTENov 17 2024
R-4.3-mac-aarch64NOTENov 17 2024

Exports:bits2natscdfDensityBoundeddensityMclustBoundeddensityMclustBounded.diagnosticEntropyGaussEntropyGMMEntropyGMM.data.frameEntropyGMM.densityMclustEntropyGMM.densityMclustBoundedEntropyGMM.matrixEntropyGMM.MclustGaussianMixtureMEMlogsumexpMclustMEMnats2bitsplot.densityMclustBoundedplot.MclustMEMpredict.densityMclustBoundedprint.densityMclustBoundedprint.MclustMEMprint.summary.densityMclustBoundedprint.summary.MclustMEMquantileDensityBoundedsoftmaxsummary.densityMclustBoundedsummary.MclustMEM

Dependencies:codetoolsforeachiteratorsmclustRcppRcppArmadillo

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
Compute log-sum-exp and softmax functions.logsumexp softmax
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
Suicide datasuicide