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 href="/link/update.formula?package=flexmix&version=2.3-9" rd-options="" data-mini-rdoc="flexmix::update.formula">update.formula</a></code>. Default is to use the original
    <code>flexmix</code> model formul

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

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>.

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

models

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.

FLXMRlmmc: FlexMix Interface to Linear Mixed Models with Left-Censored Observations

Description

Usage

Arguments

Value