FLXfit

Number of clusters (not needed if <code>cluster</code> is specified).

Initial cluster assignments of observations at the
    start of the EM algorithm (default is random assignment into <code>k</code>
    clusters).

cluster

model

control

Factor with optional grouping of observations.

group

This is the basic computing engine called by <code><a href="/link/flexmix?package=flexmix&version=1.1-0" rd-options="" data-mini-rdoc="flexmix::flexmix">flexmix</a></code>, it
  should usually not be used directly.

regression

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