VarSelLCM (version 2.1.3.1)

BIC: BIC criterion.

Description

This function gives the BIC criterion of an instance of '>VSLCMresults. BIC is computed according to the formula $$BIC=log-likelihood - 0.5*\nu*log(n)$$ where \(\nu\) denotes the number of parameters in the fitted model and \(n\) represents the sample size.

Usage

# S4 method for VSLCMresults
BIC(object)

Arguments

object

instance of '>VSLCMresults.

References

Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461-464.

Examples

# NOT RUN {
# Data loading:
data(heart)

# Cluster analysis without variable selection (number of clusters between 1 and 3)
res<- VarSelCluster(heart[,-13], 2, vbleSelec = FALSE)

# Get the BIC value
BIC(res)
# }