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 2.2-4 Index]