MoEClust (1.2.1)

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Gaussian Parsimonious Clustering Models with Covariates.

Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2017) . 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 via the EM/CEM algorithm. Visualisation of the results of such models using generalised pairs plots is also facilitated.

Maintainer: Keefe Murphy
Author(s): Keefe Murphy [aut, cre], Thomas Brendan Murphy [ctb]

License: GPL (>= 2)

Uses: lattice, matrixStats, mclust, mvnfast, nnet, vcd, cluster, geometry, knitr, clustMD, rmarkdown

Released 4 months ago.

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