R: Class "flexmix"

flexmix-class {flexmix} | R Documentation

## Class "flexmix"

### Description

A fitted `flexmix` model.

### Slots

`model`:

  List of `FLXM` objects.

`prior`:

  Numeric vector with prior probabilities of clusters.

`posterior`:

  Named list with elements `scaled` and `unscaled`, both matrices with one row per observation and one column per cluster.

`iter`:

  Number of EM iterations.

`k`:

  Number of clusters after EM.

`k0`:

  Number of clusters at start of EM.

`cluster`:

  Cluster assignments of observations.

`size`:

  Cluster sizes.

`logLik`:

  Log-likelihood at EM convergence.

`df`:

  Total number of parameters of the model.

`components`:

  List describing the fitted components using `FLXcomponent` objects.

`formula`:

  Object of class `"formula"`.

`control`:

  Object of class `"FLXcontrol"`.

`call`:

  The function call used to create the object.

`group`:

  Object of class `"factor"`.

`converged`:

  Logical, `TRUE` if EM algorithm converged.

`concomitant`:

  Object of class `"FLXP"`..

`weights`:

  Optional weights of the observations.

### Extends

Class `FLXdist`, directly.

### Accessor Functions

The following functions should be used for accessing the corresponding slots:

`cluster`:

  Cluster assignments of observations.

`posterior`:

  A matrix of posterior probabilities for each observation.

### Author(s)

Friedrich Leisch and Bettina Gruen

[Package flexmix version 2.3-14 Index]