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
norMmix_0.2-0.zip(r-4.5)norMmix_0.2-0.zip(r-4.4)norMmix_0.2-0.zip(r-4.3)
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norMmix_0.2-0.tar.gz(r-4.5-noble)norMmix_0.2-0.tar.gz(r-4.4-noble)
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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 161 downloads 42 exports 5 dependencies

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

TargetResultLatest binary
Doc / VignettesOKApr 03 2025
R-4.5-winOKApr 03 2025
R-4.5-macOKApr 03 2025
R-4.5-linuxOKApr 03 2025
R-4.4-winNOTEApr 03 2025
R-4.4-macNOTEApr 03 2025
R-4.4-linuxNOTEApr 03 2025
R-4.3-winNOTEApr 03 2025
R-4.3-macNOTEApr 03 2025

Exports:claraInitclr1clr1invdfnMmdnorMmixellipsePtsldlllmvtnormllnorMmixmclVVVinitMW21MW210MW211MW212MW213MW214MW215MW22MW23MW24MW25MW26MW27MW28MW29MW31MW32MW33MW34MW51nMm2parnor1toMmixnorMmixnorMmixMLEnparpar2nMmplot2dplotndrnorMmixsllnorMmixssClara2kLTrubetskoy10

Dependencies:clusterMASSmclustmvtnormsfsmisc

A Short Intro to norMmix

Rendered fromA_Short_Intro_to_norMmix.Rmdusingknitr::rmarkdownon Apr 03 2025.

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