FLXfit

FLXfit,list-method

model

Object of class <code>FLXconcomitant</code>.

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=2.0-1" 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