toEthetaYlist

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

toEthetaYlist function

<dl><dt>NEthetaYList</dt>
<dd>NEthetaYList</dd>
<dt>NEZOneDim</dt>
<dd>NEZOneDim</dd>
<dt>qnew</dt>
<dd>qnew</dd>
<dt>clusInd</dt>
<dd>clusInd</dd></dl>

Arguments

Title — toEthetaYlist

<dl>

<dt>NEthetaYList</dt>
<dd>NEthetaYList</dd>


<dt>NEZOneDim</dt>
<dd>NEZOneDim</dd>


<dt>qnew</dt>
<dd>qnew</dd>


<dt>clusInd</dt>
<dd>clusInd</dd>

</dl>

toEthetaYlist: Title

Description

Usage

Arguments