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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
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Package details |
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| Author | Xiang Lu <Xiang_Lu at urmc.rochester.edu>, Yaoxiang Li <yl814 at georgetown.edu>, Tanzy Love <tanzy_love at urmc.rochester.edu> |
| Maintainer | Yaoxiang Li <yl814@georgetown.edu> |
| License | GPL-3 |
| Version | 1.0.9 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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