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'))

Peer review:

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

On CRAN:

gaussian-mixture-modelsmaximum-likelihood-estimationr-language

42 exports 1.32 score 5 dependencies 2 scripts 139 downloads

Last updated 13 days agofrom:cba5688dd5. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winNOTESep 05 2024
R-4.5-linuxNOTESep 05 2024
R-4.4-winNOTESep 05 2024
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R-4.3-winNOTESep 05 2024
R-4.3-macNOTESep 05 2024

Exports:claraInitclr1clr1invdfnMmdnorMmixellipsePtsldlllmvtnormllnorMmixmclVVVinitMW21MW210MW211MW212MW213MW214MW215MW22MW23MW24MW25MW26MW27MW28MW29MW31MW32MW33MW34MW51nMm2parnor1toMmixnorMmixnorMmixMLEnparpar2nMmplot2dplotndrnorMmixsllnorMmixssClara2kLTrubetskoy10

Dependencies:clusterMASSmclustmvtnormsfsmisc

A Short Intro to norMmix

Rendered fromA_Short_Intro_to_norMmix.Rmdusingknitr::rmarkdownon Sep 05 2024.

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