bpgmm: Bayesian Model Selection Approach for Parsimonious Gaussian Mixture Models

Model-based clustering using Bayesian parsimonious Gaussian mixture models. MCMC (Markov chain Monte Carlo) are used for parameter estimation. The RJMCMC (Reversible-jump Markov chain Monte Carlo) is used for model selection. GREEN et al. (1995) <doi:10.1093/biomet/82.4.711>.

Getting started

Package details

AuthorXiang Lu <Xiang_Lu at urmc.rochester.edu>, Yaoxiang Li <yl814 at georgetown.edu>, Tanzy Love <tanzy_love at urmc.rochester.edu>
MaintainerYaoxiang Li <[email protected]>
LicenseGPL-3
Version1.0.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bpgmm")

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bpgmm documentation built on Aug. 2, 2019, 5:04 p.m.