Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2018) <arXiv:1711.05632v2>. This package fits finite Gaussian mixture models with a formula interface for supplying gating and/or expert network covariates using a range of parsimonious covariance parameterisations from the GPCM family via the EM/CEM algorithm. Visualisation of the results of such models using generalised pairs plots and the inclusion of an additional noise component is also facilitated. A greedy forward stepwise search algorithm is provided for identifying the optimal model in terms of the number of components, the GPCM covariance parameterisation, and the subsets of gating/expert network covariates.
| Version: | 1.2.3 |
| Depends: | R (≥ 3.3.0) |
| Imports: | lattice, matrixStats, mclust (≥ 5.1), mvnfast, nnet, vcd |
| Suggests: | cluster, clustMD, geometry, knitr, parallel, rmarkdown |
| Published: | 2019-07-31 |
| Author: | Keefe Murphy [aut, cre], Thomas Brendan Murphy [ctb] |
| Maintainer: | Keefe Murphy <keefe.murphy at ucd.ie> |
| BugReports: | https://github.com/Keefe-Murphy/MoEClust |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://cran.r-project.org/package=MoEClust |
| NeedsCompilation: | no |
| Citation: | MoEClust citation info |
| Materials: | README NEWS |
| In views: | Cluster |
| CRAN checks: | MoEClust results |
| Reference manual: | MoEClust.pdf |
| Vignettes: |
MoEClust |
| Package source: | MoEClust_1.2.3.tar.gz |
| Windows binaries: | r-devel: MoEClust_1.2.3.zip, r-devel-gcc8: MoEClust_1.2.3.zip, r-release: MoEClust_1.2.3.zip, r-oldrel: MoEClust_1.2.3.zip |
| OS X binaries: | r-release: MoEClust_1.2.3.tgz, r-oldrel: MoEClust_1.2.3.tgz |
| Old sources: | MoEClust archive |
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