ICL {flexmix} | R Documentation

## Integrated completed likelihood criterion

### Description

Compute the Integrated Completed Likelihood criterion for model selection.

### Usage

    ## S4 method for signature 'flexmix':
    ICL(object, ...)
    ## S4 method for signature 'stepFlexmix':
    ICL(object, ...)

### Arguments

`object` | see Methods section below
`...` | Some methods for this generic function may take additional, optional arguments. At present none do.

### Value

Returns a numeric vector with the corresponding ICL value(s).

### Methods

object = "flexmix":
  Compute the ICL of a `flexmix` object.
object = "stepFlexmix":
  Compute the ICL of all models contained in the `stepFlexmix` object.

### Author(s)

Friedrich Leisch and Bettina Gruen

### References

C. Biernacki, G. Celeux, and G. Govaert. Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(7), pages 719-725, 2000.

### Examples

    data("NPreg")
    ex1 <- flexmix(yn~x+I(x^2), data=NPreg, k=2)
    ICL(ex1)

[Package flexmix version 2.2-4 Index]