Hparam-class

An S4 class to represent a Hyper parameter.

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

Hparam-class function

<dl>
<dt><code>alpha1</code></dt>
<dd>A numeric value</dd></dl>
<dt><code>alpha2</code></dt>
<dd>A numeric value</dd>
<dt><code>delta</code></dt>
<dd>A numeric value</dd>
<dt><code>ggamma</code></dt>
<dd>A numeric value</dd>
<dt><code>bbeta</code></dt>
<dd>A numeric value</dd>

Slots

An S4 class to represent a Hyper parameter. — Hparam-class

<dl>
<dt><code>alpha1</code></dt>
<dd>A numeric value</dd>


<dt><code>alpha2</code></dt>
<dd>A numeric value</dd>


<dt><code>delta</code></dt>
<dd>A numeric value</dd>


<dt><code>ggamma</code></dt>
<dd>A numeric value</dd>


<dt><code>bbeta</code></dt>
<dd>A numeric value</dd>


</dl>

Hparam-class: An S4 class to represent a Hyper parameter.

Description

Arguments

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