Aliases: logLik.MclustDA
Keywords: multivariate
### ** Examples ## No test: irisMclustDA <- MclustDA(iris[,1:4], iris$Species)
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summary(irisMclustDA)
------------------------------------------------
Gaussian finite mixture model for classification
------------------------------------------------
MclustDA model summary:
log-likelihood n df BIC
-172.8135 150 49 -591.1482
Classes n % Model G
setosa 50 33.33 EEE 2
versicolor 50 33.33 XXX 1
virginica 50 33.33 XXX 1
Training confusion matrix:
Predicted
Class setosa versicolor virginica
setosa 50 0 0
versicolor 0 48 2
virginica 0 1 49
Classification error = 0.02
Brier score = 0.0116
logLik(irisMclustDA)
'log Lik.' -172.8135 (df=49)
## End(No test)