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.
Version: | 5.4.6 |
Depends: | R (≥ 3.0) |
Imports: | stats, utils, graphics, grDevices |
Suggests: | knitr (≥ 1.12), rmarkdown (≥ 0.9), mix (≥ 1.0), geometry (≥ 0.3-6), MASS |
Published: | 2020-04-11 |
Author: | Chris Fraley [aut],
Adrian E. Raftery |
Maintainer: | Luca Scrucca <luca.scrucca at unipg.it> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://mclust-org.github.io/mclust/ |
NeedsCompilation: | yes |
Citation: | mclust citation info |
Materials: | NEWS |
In views: | Cluster, Distributions, Environmetrics, Multivariate |
CRAN checks: | mclust results |
Reference manual: | mclust.pdf |
Vignettes: |
A quick tour of mclust |
Package source: | mclust_5.4.6.tar.gz |
Windows binaries: | r-devel: mclust_5.4.6.zip, r-release: mclust_5.4.6.zip, r-oldrel: mclust_5.4.6.zip |
macOS binaries: | r-release: mclust_5.4.6.tgz, r-oldrel: mclust_5.4.6.tgz |
Old sources: | mclust archive |
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