R: Log-Likelihood of a 'MclustDA' object

logLik.MclustDA {mclust}

R Documentation

Log-Likelihood of a `MclustDA` object

Description

Returns the log-likelihood for a MclustDA object.

Usage

  ## S3 method for class 'MclustDA'
logLik(object, data, ...)

Arguments

`object`	an object of class `'MclustDA'` resulting from a call to `MclustDA`.
`data`	the data for which the log-likelihood must be computed. If missing, the observed data from the `'MclustDA'` object is used.
`...`	further arguments passed to or from other methods.

Value

Returns an object of class 'logLik' with an element providing the maximized log-likelihood, and further arguments giving the number of (estimated) parameters in the model ("df") and the sample size ("nobs").

Author(s)

Luca Scrucca

References

C. Fraley and A. E. Raftery (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97:611:631.

C. Fraley, A. E. Raftery, T. B. Murphy and L. Scrucca (2012). mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation. Technical Report No. 597, Department of Statistics, University of Washington.

Examples

## Not run: 
irisMclustDA <- MclustDA(iris[,1:4], iris$Species)
summary(irisMclustDA)
logLik(irisMclustDA)

## End(Not run)

[Package mclust version 5.3 Index]

Log-Likelihood of a MclustDA object