BIC {VarSelLCM} | R Documentation |
This function gives the BIC criterion of an instance of VSLCMresults
.
BIC is computed according to the formula
BIC=log-likelihood - 0.5*ν*log(n)
where ν denotes the number of parameters in the fitted model and n represents the sample size.
## S4 method for signature 'VSLCMresults' BIC(object)
object |
instance of |
Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461-464.
# 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)