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norMmix  

Direct MLE for Multivariate Normal Mixture Distributions
View on CRAN: Click here


Download and install norMmix package within the R console
Install from CRAN:
install.packages("norMmix")

Install from Github:
library("remotes")
install_github("cran/norMmix")

Install by package version:
library("remotes")
install_version("norMmix", "0.2-0")



Attach the package and use:
library("norMmix")
Maintained by
Nicolas Trutmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-16
Latest Update: 2024-09-09
Description:
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) "Gaussian parsimonious clustering models". Marron, S. and Wand, M. (1992) "Exact Mean Integrated Squared Error".
How to cite:
Nicolas Trutmann (2024). norMmix: Direct MLE for Multivariate Normal Mixture Distributions. R package version 0.2-0, https://cran.r-project.org/web/packages/norMmix. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:25), 0.1-1 (2024-04-16 11:00)
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Complete documentation for norMmix
Functions, R codes and Examples using the norMmix R package
Full norMmix package functions and examples
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