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_0.2-0.tgz(r-4.4-any)norMmix_0.2-0.tgz(r-4.3-any)
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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

4.48 score 3 scripts 137 downloads 42 exports 5 dependencies

Last updated 3 months agofrom:cba5688dd5. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winNOTENov 04 2024
R-4.4-macNOTENov 04 2024
R-4.3-winNOTENov 04 2024
R-4.3-macNOTENov 04 2024

Exports:claraInitclr1clr1invdfnMmdnorMmixellipsePtsldlllmvtnormllnorMmixmclVVVinitMW21MW210MW211MW212MW213MW214MW215MW22MW23MW24MW25MW26MW27MW28MW29MW31MW32MW33MW34MW51nMm2parnor1toMmixnorMmixnorMmixMLEnparpar2nMmplot2dplotndrnorMmixsllnorMmixssClara2kLTrubetskoy10

Dependencies:clusterMASSmclustmvtnormsfsmisc

A Short Intro to norMmix

Rendered fromA_Short_Intro_to_norMmix.Rmdusingknitr::rmarkdownon Nov 04 2024.

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