bpgmm

Bayesian Model Selection Approach for Parsimonious Gaussian Mixture Models

CRAN Package

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).

  • Version1.0.9
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?Yes
  • Last release06/01/2022

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  • Imports9 packages
  • Suggests1 package
  • Linking To2 packages