swh:1:snp:dc80812a22a7696ce24055bd58afbf9f13e3e78c
Tip revision: c81639b9efbc365dff7f4e9cf6d6f5ff01210771 authored by Friedrich Leisch on 07 September 2007, 00:00:00 UTC
version 2.0-1
version 2.0-1
Tip revision: c81639b
ICL.Rd
\name{ICL}
\alias{ICL,flexmix-method}
\alias{ICL,stepFlexmix-method}
\title{Integrated completed likelihood criterion}
\description{
Compute the Integrated Completed Likelihood criterion for model selection.
}
\usage{
\S4method{ICL}{flexmix}(object, \dots)
\S4method{ICL}{stepFlexmix}(object, \dots)
}
\arguments{
\item{object}{see Methods section below}
\item{\dots}{Some methods for this generic function may take additional,
optional arguments. At present none do.}
}
\section{Methods}{
\describe{
\item{object = "flexmix":}{Compute the ICL of a \code{flexmix} object.}
\item{object = "stepFlexmix":}{Compute the ICL of all
models contained in the \code{stepFlexmix} object.}
}}
\value{
Returns a numeric vector with the corresponding ICL value(s).
}
\keyword{methods}
\author{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)
}