AIC,flexmix-method

Evaluate the Akaike Information Criterion.
  This function is defined as an old-style generic in the <code>base</code>
  package.  In this package is it converted to an S4 generic.

methods

AIC-methods

FlexMix implements a general framework for finite
  mixtures of regression models using the EM algorithm. 
  FlexMix provides the E-step and all data handling, 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. 

AIC-methods: Methods for Function AIC

Description

Arguments