AIC {VarSelLCM}R Documentation

AIC criterion.

Description

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

AIC=log-likelihood - \nu

where \nu denotes the number of parameters in the fitted model.

Usage

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

Arguments

object

instance of VSLCMresults.

References

Akaike, H. (1974), "A new look at the statistical model identification", IEEE Transactions on Automatic Control, 19 (6): 716-723.

Examples

# Data loading:
data(heart)

# Cluster analysis without variable selection
res <- VarSelCluster(heart[,-13], 2, vbleSelec = FALSE)

# Get the AIC value
AIC(res)

[Package VarSelLCM version 2.1.3.1 Index]