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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: | 1.5.2 |
Depends: | R (≥ 4.0.0) |
Imports: | lattice (≥ 0.12), matrixStats (≥ 1.0.0), mclust (≥ 5.4), mvnfast, nnet (≥ 7.3-0), vcd |
Suggests: | cluster (≥ 1.4.0), clustMD (≥ 1.2.1), geometry (≥ 0.4.0), knitr, rmarkdown, snow |
Published: | 2023-12-11 |
DOI: | 10.32614/CRAN.package.MoEClust |
Author: | Keefe Murphy |
Maintainer: | Keefe Murphy <keefe.murphy at mu.ie> |
BugReports: | https://github.com/Keefe-Murphy/MoEClust |
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 |
Reference manual: | MoEClust.pdf |
Vignettes: |
MoEClust |
Package source: | MoEClust_1.5.2.tar.gz |
Windows binaries: | r-devel: MoEClust_1.5.2.zip, r-release: MoEClust_1.5.2.zip, r-oldrel: MoEClust_1.5.2.zip |
macOS binaries: | r-release (arm64): MoEClust_1.5.2.tgz, r-oldrel (arm64): MoEClust_1.5.2.tgz, r-release (x86_64): MoEClust_1.5.2.tgz, r-oldrel (x86_64): MoEClust_1.5.2.tgz |
Old sources: | MoEClust archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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