FLXfit

FLXfit,list-method

List of <code>FLXM</code> objects.

model

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

concomitant

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

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 rd-options="" href="/link/flexmix?package=flexmix&version=2.3-17" data-mini-rdoc="flexmix::flexmix">flexmix</a></code>, it
 should usually not be used directly.

regression

cluster

A general framework for finite mixtures of regression
models using the EM algorithm is implemented. The E-step and all
data handling are provided, 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.

Bettina Gruen

flexmix

Flexible Mixture Modeling

Friedrich Leisch

Deepayan Sarkar

Frederic Mortier

Nicolas Picard

FLXfit function

This is the basic computing engine called by <code><a rd-options='' href='flexmix'>flexmix</a></code>, it
 should usually not be used directly.

FLXfit: Fitter Function for FlexMix Models

Description

Usage

Arguments

Value

See Also