Package: MoEClust Type: Package Date: 2025-03-05 Title: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component Version: 1.6.0 Authors@R: c(person("Keefe", "Murphy", email = "keefe.murphy@mu.ie", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7709-3159")), person("Thomas Brendan", "Murphy", email = "brendan.murphy@ucd.ie", role = "ctb", comment = c(ORCID = "0000-0002-5668-7046"))) Description: Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2020) . 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. Depends: R (>= 4.0.0) License: GPL (>= 3) Encoding: UTF-8 URL: https://cran.r-project.org/package=MoEClust BugReports: https://github.com/Keefe-Murphy/MoEClust/issues LazyData: true 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 RoxygenNote: 7.3.2 VignetteBuilder: knitr Repository: https://keefe-murphy.r-universe.dev Date/Publication: 2025-03-05 18:12:35 UTC RemoteUrl: https://github.com/keefe-murphy/moeclust RemoteRef: HEAD RemoteSha: 653ca18ee47e6087de380668a3d42d3b3167091f NeedsCompilation: no Packaged: 2026-05-25 09:28:45 UTC; root Author: Keefe Murphy [aut, cre] (ORCID: ), Thomas Brendan Murphy [ctb] (ORCID: ) Maintainer: Keefe Murphy