AIC,flexmix-method

AIC,stepFlexmix-method

Compute the Akaike Information Criterion.

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