summerizePgmmRJMCMC

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>.

Yaoxiang Li

bpgmm

Bayesian Model Selection Approach for Parsimonious Gaussian
Mixture Models

Xiang Lu

Tanzy Love

summerizePgmmRJMCMC function

<dl><dt>pgmmResList</dt>
<dd>result list from pgmmRJMCMC</dd>
<dt>trueCluster</dt>
<dd>true cluster allocation</dd></dl>

Arguments

summerizePgmmRJMCMC — summerizePgmmRJMCMC

<dl>

<dt>pgmmResList</dt>
<dd>result list from pgmmRJMCMC</dd>


<dt>trueCluster</dt>
<dd>true cluster allocation</dd>

</dl>

summerizePgmmRJMCMC: summerizePgmmRJMCMC

Description

Usage

Arguments