FLXdist

simulate,FLXdist-method

show,FLXdist-method

Constructs objects of class <code>FLXdist</code> which represent unfitted finite mixture
 models.

utilities

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

FLXdist function

<dl> <dt>formula</dt>
<dd>A symbolic description of the model to be fit. The
 general form is <code>~x|g</code> where <code>x</code> is the set of predictors
 and <code>g</code> an optional grouping factor for repeated measurements.</dd> <dt>k</dt>
<dd>Integer specifying the number of cluster or a numeric vector of
 length equal to the length of components, specifying the prior
 probabilities of clusters.</dd> <dt>model</dt>
<dd>Object of class <code>FLXM</code> or a list of <code>FLXM</code>
 objects. Default is the object returned by calling
 <code>FLXMRglm()</code>.</dd> <dt>components</dt>
<dd>A list of length equal to the number of components
 containing a list of length equal to the number of models which
 again contains a list of named elements for defining the parameters
 of the component-specific model.</dd> <dt>concomitant</dt>
<dd>Object of class <code>FLXconcomitant</code> specifying
 the model for concomitant variables.</dd></dl>

Arguments

Author

Finite Mixtures of Distributions — FLXdist

<dl>

 <dt>formula</dt>
<dd>A symbolic description of the model to be fit. The
 general form is <code>~x|g</code> where <code>x</code> is the set of predictors
 and <code>g</code> an optional grouping factor for repeated measurements.</dd>

 <dt>k</dt>
<dd>Integer specifying the number of cluster or a numeric vector of
 length equal to the length of components, specifying the prior
 probabilities of clusters.</dd>

 <dt>model</dt>
<dd>Object of class <code>FLXM</code> or a list of <code>FLXM</code>
 objects. Default is the object returned by calling
 <code>FLXMRglm()</code>.</dd>

 <dt>components</dt>
<dd>A list of length equal to the number of components
 containing a list of length equal to the number of models which
 again contains a list of named elements for defining the parameters
 of the component-specific model.</dd>

 <dt>concomitant</dt>
<dd>Object of class <code>FLXconcomitant</code> specifying
 the model for concomitant variables.</dd>

</dl>

Finite Mixtures of Distributions

FLXdist: Finite Mixtures of Distributions

Description

Usage

Value

Arguments

Author

See Also