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.">

MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component (original) (raw)

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 ORCID iD [aut, cre], Thomas Brendan MurphyORCID iD [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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