BIC {VarSelLCM}

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 signature '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

# 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)