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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