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) .


Reference manual

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1.0.7 by Yaoxiang Li, a year ago

Browse source code at

Authors: Xiang Lu <Xiang_Lu at> , Yaoxiang Li <yl814 at> , Tanzy Love <tanzy_love at>

Documentation:   PDF Manual  

GPL-3 license

Imports methods, mcmcse, pgmm, mvtnorm, MASS, Rcpp, gtools, label.switching, fabMix, mclust

Suggests testthat

Linking to Rcpp, RcppArmadillo

System requirements: C++11

See at CRAN