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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>.

Version: 0.2-0
Imports: cluster, MASS, mvtnorm, mclust, sfsmisc
Suggests: nor1mix, Matrix, testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2024-09-09
DOI: 10.32614/CRAN.package.norMmix
Author: Nicolas Trutmann [aut, cre], Martin Maechler ORCID iD [aut, ths] (based on 'nor1mix')
Maintainer: Nicolas Trutmann <nicolas.trutmann at gmx.ch>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: norMmix results

Documentation:

Reference manual: norMmix.pdf
Vignettes: A_Short_Intro_to_norMmix (source, R code)

Downloads:

Package source: norMmix_0.2-0.tar.gz
Windows binaries: r-devel: norMmix_0.2-0.zip, r-release: norMmix_0.2-0.zip, r-oldrel: norMmix_0.2-0.zip
macOS binaries: r-release (arm64): norMmix_0.2-0.tgz, r-oldrel (arm64): norMmix_0.2-0.tgz, r-release (x86_64): norMmix_0.2-0.tgz, r-oldrel (x86_64): norMmix_0.2-0.tgz
Old sources: norMmix archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.