FLXPconstant

FLXPmultinom

FLXconstant

FLXmultinom

show,FLXP-method

Creator functions for the concomitant variable
 model. <code>FLXPconstant</code> specifies constant priors
 and <code>FLXPmultinom</code> multinomial logit models for the priors.

models

FLXP

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

FLXP function

<dl> <dt>formula</dt>
<dd>A formula for determining the model matrix of the
 concomitant variables.</dd></dl>

Arguments

Friedrich Leisch and Bettina Gruen

Author

Creates the Concomitant Variable Model — FLXP

<dl>

 <dt>formula</dt>
<dd>A formula for determining the model matrix of the
 concomitant variables.</dd>

</dl>

FLXP: Creates the Concomitant Variable Model

Description

Usage

Value

Arguments

Author

Details