MDL2

MDL5

MDL2-methods

MDL2,REBMIX-method

MDL2,REBMVNORM-method

MDL5-methods

MDL5,REBMIX-method

MDL5,REBMVNORM-method

Returns the minimum desription length at <code>pos</code>.

information criterion

MDL-methods

Random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.

Marko Nagode

rebmix

Finite Mixture Modeling, Clustering & Classification

Branislav Panic

Jernej Klemenc

Simon Oman

MDL-methods function

<dl><dt>x</dt>
<dd>see Methods section below.</dd><dt>pos</dt>
<dd>a desired row number in <code>x@summary</code> for which the information criterion is calculated. The default value is <code>1</code>.</dd><dt>...</dt>
<dd>currently not used.</dd></dl>

Arguments

<dl>
<dt><code>signature(x = "REBMIX")</code></dt>
<dd>an object of class <code>REBMIX</code>.</dd><dt><code>signature(x = "REBMVNORM")</code></dt>
<dd>an object of class <code>REBMVNORM</code>.</dd>
</dl>

Methods

Author

Minimum Description Length — MDL-methods

<dl>

<dt>x</dt>
<dd>see Methods section below.</dd>

<dt>pos</dt>
<dd>a desired row number in <code>x@summary</code> for which the information criterion is calculated. The default value is <code>1</code>.</dd>

<dt>...</dt>
<dd>currently not used.</dd>

</dl>

<dl>
<dt><code>signature(x = "REBMIX")</code></dt>
<dd>an object of class <code>REBMIX</code>.</dd>

<dt><code>signature(x = "REBMVNORM")</code></dt>
<dd>an object of class <code>REBMVNORM</code>.</dd>


</dl>

MDL-methods: Minimum Description Length

Description

Usage

Arguments

Methods

Author

References