FLXfit

FLXfit,list-method

model

concomitant

control

A numeric vector of weights to be used in the fitting
      process.

weights

Initial a-posteriori probabilities of the
    observations at the start of the EM algorithm.

postunscaled

List with components <code>group</code> which is a factor with
    optional grouping of observations and <code>groupfirst</code> which is a
    logical vector for the first observation of each group.

groups

This is the basic computing engine called by <code><a href="/link/flexmix?package=flexmix&version=2.3-9" rd-options="" data-mini-rdoc="flexmix::flexmix">flexmix</a></code>, it
  should usually not be used directly.

regression

cluster

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.

FLXfit: Fitter Function for FlexMix Models

Description

Usage

Arguments

Value

See Also