BIC,flexmix-method

BIC,stepFlexmix-method

Compute the Bayesian Information Criterion.

methods

BIC-methods

A general framework for finite mixtures of regression
models using the EM algorithm is implemented. The E-step and all
data handling are provided, while the M-step can be supplied by the
user to easily define new models. Existing drivers implement
mixtures of standard linear models, generalized linear models and
model-based clustering.

Bettina Gruen

flexmix

Flexible Mixture Modeling

Friedrich Leisch

Deepayan Sarkar

Frederic Mortier

Nicolas Picard

BIC-methods function

<dl class="dl-horizontal">
 <dt>object = flexmix:</dt><dd>Compute the BIC of a <code>flexmix</code> object</dd>
 <dt>object = stepFlexmix:</dt><dd>Compute the BIC of all
 models contained in the <code>stepFlexmix</code> object.</dd>
 </dl>

Methods

Methods for Function BIC — BIC-methods

<dl class='dl-horizontal'>
 <dt>object = flexmix:</dt><dd>Compute the BIC of a <code>flexmix</code> object</dd>
 <dt>object = stepFlexmix:</dt><dd>Compute the BIC of all
 models contained in the <code>stepFlexmix</code> object.</dd>
 </dl>

BIC-methods: Methods for Function BIC

Description

Arguments

Methods