mclust

Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.

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Description file content

Package
mclust
Version
5.4.1
Date
2018-06-27
Title
Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Description
Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
Depends
R (>= 3.0)
Imports
stats, utils, graphics, grDevices
Suggests
knitr (>= 1.12), rmarkdown (>= 0.9), mix (>= 1.0), geometry (>= 0.3-6), MASS
License
GPL (>= 2)
URL
VignetteBuilder
knitr
Repository
CRAN
ByteCompile
true
LazyLoad
yes
NeedsCompilation
yes
Packaged
2018-06-27 11:23:35 UTC; luca
Author
Chris Fraley [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre], Thomas Brendan Murphy [ctb], Michael Fop [ctb]
Maintainer
Luca Scrucca
Date/Publication
2018-06-27 14:58:17 UTC

install.packages('mclust')

5.4.1

2 months ago

http://www.stat.washington.edu/mclust/

Luca Scrucca

GPL (>= 2)

Depends on

R (>= 3.0)

Imports

stats, utils, graphics, grDevices

Suggests

knitr (>= 1.12), rmarkdown (>= 0.9), mix (>= 1.0), geometry (>= 0.3-6), MASS

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