BIC-methods function

BIC criterion.

This function gives the BIC criterion of an instance of VSLCMresults. BIC is computed according to the formula [REMOVE_ME]$BIC=log-likelihood - 0.5*\nu*log(n) [REMOVE_ME_2]$

where $\nu$ denotes the number of parameters in the fitted model and $n$ represents the sample size. methods

## S4 method for signature 'VSLCMresults'
BIC(object)

Arguments

• object: instance of VSLCMresults.

Description

This function gives the BIC criterion of an instance of VSLCMresults. BIC is computed according to the formula

where $\nu$ denotes the number of parameters in the fitted model and $n$ represents the sample size.

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)

References

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