Package: norMmix 0.2-0

norMmix: Direct MLE for Multivariate Normal Mixture Distributions

Multivariate Normal (i.e. Gaussian) Mixture Models (S3) Classes. Fitting models to data using 'MLE' (maximum likelihood estimation) for multivariate normal mixtures via smart parametrization using the 'LDL' (Cholesky) decomposition, see McLachlan and Peel (2000, ISBN:9780471006268), Celeux and Govaert (1995) <doi:10.1016/0031-3203(94)00125-6>.

Authors:Nicolas Trutmann [aut, cre], Martin Maechler [aut, ths]

norMmix_0.2-0.tar.gz
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norMmix.pdf |norMmix.html✨
norMmix/json (API)

# Install 'norMmix' in R:
install.packages('norMmix', repos = c('https://trn000.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/trn000/normmix/issues

On CRAN:

Conda:

gaussian-mixture-modelsmaximum-likelihood-estimationr-language

4.18 score 3 scripts 202 downloads 42 exports 5 dependencies

Last updated 7 months agofrom:cba5688dd5. Checks:4 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 04 2025
R-4.5-winOKMar 04 2025
R-4.5-macOKMar 04 2025
R-4.5-linuxOKMar 04 2025
R-4.4-winNOTEMar 04 2025
R-4.4-macNOTEMar 04 2025
R-4.4-linuxNOTEMar 04 2025
R-4.3-winNOTEMar 04 2025
R-4.3-macNOTEMar 04 2025

Exports:claraInitclr1clr1invdfnMmdnorMmixellipsePtsldlllmvtnormllnorMmixmclVVVinitMW21MW210MW211MW212MW213MW214MW215MW22MW23MW24MW25MW26MW27MW28MW29MW31MW32MW33MW34MW51nMm2parnor1toMmixnorMmixnorMmixMLEnparpar2nMmplot2dplotndrnorMmixsllnorMmixssClara2kLTrubetskoy10

Dependencies:clusterMASSmclustmvtnormsfsmisc

A Short Intro to norMmix

Rendered fromA_Short_Intro_to_norMmix.Rmdusingknitr::rmarkdownon Mar 04 2025.

Last update: 2024-04-16
Started: 2020-04-10