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-4.7-any)norMmix_0.2-0.zip(r-4.6-any)norMmix_0.2-0.zip(r-4.5-any)
norMmix_0.2-0.tgz(r-4.6-any)norMmix_0.2-0.tgz(r-4.5-any)
norMmix_0.2-0.tar.gz(r-4.7-any)norMmix_0.2-0.tar.gz(r-4.6-any)
norMmix_0.2-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

gaussian-mixture-models maximum-likelihood-estimation r-language

3.70 score 4 scripts 267 downloads 42 exports 5 dependencies

Last updated from:cba5688dd5. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	132
source / vignettes	OK	356
linux-release	OK	268
macos-release	OK	231
macos-oldrel	OK	184
windows-devel	OK	72
windows-release	OK	320
windows-oldrel	OK	88
wasm-release	OK	262

Exports:claraInit clr1 clr1inv dfnMm dnorMmix ellipsePts ldl llmvtnorm llnorMmix mclVVVinit MW21 MW210 MW211 MW212 MW213 MW214 MW215 MW22 MW23 MW24 MW25 MW26 MW27 MW28 MW29 MW31 MW32 MW33 MW34 MW51 nMm2par nor1toMmix norMmix norMmixMLE npar par2nMm plot2d plotnd rnorMmix sllnorMmix ssClara2kL Trubetskoy10

Dependencies:cluster MASS mclust mvtnorm sfsmisc

A Short Intro to norMmix

Rendered fromA_Short_Intro_to_norMmix.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Centered Log Ratio Transformation and Inverse	clr1 clr1inv
Number of Free Parameters of Multivariate Normal Mixture Models	dfnMm
Density from Multivariate Normal Mixture Distribution	dnorMmix
Compute Points on Bivariate Gaussian Confidence Ellipse	ellipsePts
LDL' Cholesky Decomposition	ldl
Log-Likelihood of Multivariate Normal Mixture Relying on 'mvtnorm::dmvnorm'	llmvtnorm
Log-likelihood of parameter vector given data	llnorMmix
Marron-Wand-like Specific Multivariate Normal Mixture 'norMmix' Objects	MarronWand MW21 MW210 MW211 MW212 MW213 MW214 MW215 MW22 MW23 MW24 MW25 MW26 MW27 MW28 MW29 MW31 MW32 MW33 MW34 MW51
Multivariate Normal Mixture Model to parameter for MLE	nMm2par
Cast nor1mix object as norMmix.	nor1toMmix
Constructor for Multivariate Normal Mixture Objects	norMmix
Maximum Likelihood Estimation for Multivariate Normal Mixtures	claraInit mclVVVinit norMmixMLE ssClara2kL
Degrees of freedom of (Fitted) Multivariate Normal Mixtures	npar
Transform Parameter Vector to Multivariate Normal Mixture	par2nMm
Plot Method for "norMmix" Objects	plot.fittednorMmix plot.norMmix plot.norMmixMLE plot2d plotnd Trubetskoy10
Random Sample from Multivariate Normal Mixture Distribution	rnorMmix
Simple wrapper for Log-Likelihood Function or Multivariate Normal Mixture	sllnorMmix