flexmix (version 2.3-19)

ICL: Integrated Completed Likelihood Criterion

Description

Compute the Integrated Completed Likelihood criterion for model selection.

Usage

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

Value

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

Arguments

object

see Methods section below

...

Some methods for this generic function may take additional, optional arguments. At present none do.

Methods

object = "flexmix":

Compute the ICL of a flexmix object.

object = "stepFlexmix":

Compute the ICL of all models contained in the stepFlexmix object.

Author

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), 719--725, 2000.

Examples

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