MoEClust: Gaussian Parsimonious Clustering Models with Covariates and aNoise Component
Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2020) <doi:10.1007/s11634-019-00373-8>. 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: | 1.6.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | lattice (≥ 0.12),matrixStats (≥ 1.0.0),mclust (≥ 6.1),mvnfast,nnet (≥ 7.3-0),vcd |
| Suggests: | cluster (≥ 1.4.0),clustMD (≥ 1.2.1),geometry (≥ 0.4.0),knitr,rmarkdown,snow |
| Published: | 2025-03-05 |
| DOI: | 10.32614/CRAN.package.MoEClust |
| Author: | Keefe Murphy [aut, cre], Thomas Brendan Murphy [ctb] |
| Maintainer: | Keefe Murphy <keefe.murphy at mu.ie> |
| BugReports: | https://github.com/Keefe-Murphy/MoEClust/issues |
| License: | GPL (≥ 3) |
| URL: | https://cran.r-project.org/package=MoEClust |
| NeedsCompilation: | no |
| Citation: | MoEClust citation info |
| Materials: | README,NEWS |
| In views: | Cluster |
| CRAN checks: | MoEClust results |
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