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 LDLt (Cholesky) decomposition. McLachlan, G. and Peel, D. (2000, ISBN:9780471006268) "Finite Mixture Models". Celeux, G. and Govaert, G. (1995) <doi:10.1016/0031-3203(94)00125-6> "Gaussian parsimonious clustering models". Marron, S. and Wand, M. (1992) <doi:10.1214/aos/1176348653> "Exact Mean Integrated Squared Error".

Version: 0.1-1
Imports: cluster, MASS, mvtnorm, mclust, sfsmisc
Suggests: nor1mix, Matrix, testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2024-04-16
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>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: norMmix results


Reference manual: norMmix.pdf
Vignettes: A_Short_Intro_to_norMmix


Package source: norMmix_0.1-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): norMmix_0.1-1.tgz, r-oldrel (arm64): norMmix_0.1-1.tgz, r-release (x86_64): norMmix_0.1-1.tgz, r-oldrel (x86_64): norMmix_0.1-1.tgz


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