Keefe-Murphy/MoEClust: Gaussian Parsimonious Clustering Models with Covariates
Version 1.2.0

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.

Getting started

Package details

Maintainer
LicenseGPL (>=2)
Version1.2.0
URL https://cran.r-project.org/package=MoEClust
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Keefe-Murphy/MoEClust")
Keefe-Murphy/MoEClust documentation built on Sept. 6, 2018, 4:57 a.m.