| logLik.Mclust {mclust} | R Documentation |
Mclust objectReturns the log-likelihood for a 'Mclust' object.
## S3 method for class 'Mclust' logLik(object, ...)
object |
an object of class |
... |
further arguments passed to or from other methods. |
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").
Luca Scrucca
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.
## Not run: irisMclust <- Mclust(iris[,1:4]) summary(irisMclust) logLik(irisMclust) ## End(Not run)