ICL: Integrated Classification Likelihood Criterion
In rebmix: Finite Mixture Modeling, Clustering & Classification

ICL-methods

R Documentation

Integrated Classification Likelihood Criterion

Description

Returns the integrated classification likelihood criterion at pos.

Usage

## S4 method for signature 'REBMIX'
ICL(x = NULL, pos = 1, ...)
## ... and for other signatures

Arguments

`x`	see Methods section below.
`pos`	a desired row number in `x@summary` for which the information criterion is calculated. The default value is `1`.
`...`	currently not used.

Methods

signature(x = "REBMIX"): an object of class REBMIX.
signature(x = "REBMVNORM"): an object of class REBMVNORM.

Author(s)

Marko Nagode

References

C. Biernacki, G. Celeux and G. Govaert. Assessing a mixture model for clustering with the integrated classification likelihood. Technical Report 3521, INRIA, Rhone-Alpes, 1998.

rebmix documentation built on Sept. 11, 2024, 6:30 p.m.