logLik,flexmix-method

logLik,stepFlexmix-method

Evaluate the log-likelihood. This function is defined as
 an S4 generic in the <code>stats4</code> package.

methods

logLik-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

logLik-methods function

<dl>
 <dt>object = flexmix</dt>
<dd>Evaluate the log-likelihood of an
 <code>flexmix</code> object</dd> 
</dl>

Methods

Methods for Function logLik in Package flexmix — logLik-methods

<dl>
 <dt>object = flexmix</dt>
<dd>Evaluate the log-likelihood of an
 <code>flexmix</code> object</dd>

 
</dl>

logLik-methods: Methods for Function logLik in Package flexmix

Description

Arguments

Methods