FLXMRlmmc

FLXMRlmmc-class

FLXMRlmmcfix-class

FLXMRlmc-class

FLXMRlmcfix-class

predict,FLXMRlmc-method

A formula which is interpreted relative to the formula
 specified in the call to <code>flexmix</code> using
 <code><a rd-options="" href="/link/update.formula?package=flexmix&version=2.3-17" data-mini-rdoc="flexmix::update.formula">update.formula</a></code>. Default is to use the original
 <code>flexmix</code> model formula.

formula

A formula for specifying the random effects. If missing
 no random effects are fitted.

random

If random effects are specified a named logical vector
 of length 2 indicating if the variance of the random effects and the
 residuals are fixed over the components. Otherwise a logical
 indicating if the variance of the residuals are fixed over the
 components.

varFix

A formula for specifying the censoring variable.

censored

Observations with an a-posteriori probability smaller or
 equal to <code>eps</code> are omitted in the M-step.

Additional arguments to be passed to <code>lm.wfit</code>.

&#8230;

This is a driver which allows fitting of mixtures of linear models
 with random effects and left-censored observations.

models

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

FLXMRlmmc function

A formula which is interpreted relative to the formula
 specified in the call to <code>flexmix</code> using
 <code><a rd-options='' href='update.formula'>update.formula</a></code>. Default is to use the original
 <code>flexmix</code> model formula.

FLXMRlmmc: FlexMix Interface to Linear Mixed Models with Left-Censoring

Description

Usage

Arguments

Value