AIC-methods function

AIC criterion.

This function gives the AIC criterion of an instance of VSLCMresults. AIC is computed according to the formula[REMOVE_ME]$AIC=log-likelihood - \nu [REMOVE_ME_2]$ where $\nu$ denotes the number of parameters in the fitted model. methods

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

Arguments

• object: instance of VSLCMresults.

Description

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

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

Examples

# Data loading:
data(heart)

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

# Get the AIC value
AIC(res)

References

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