mclust (version 5.3)

logLik.MclustDA: Log-Likelihood of a MclustDA object

Description

Returns the log-likelihood for a MclustDA object.

Usage

# S3 method for 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").

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.

See Also

MclustDA.

Examples

# NOT RUN {
irisMclustDA <- MclustDA(iris[,1:4], iris$Species)
summary(irisMclustDA)
logLik(irisMclustDA)
# }