Akaike's information criterion (AIC) method A method to calculate Akaike's 'An Information Criterion' (AIC) of an FLModel object from the value of the obtained log-likelihood stored in its logLik slot.

# S4 method for FLModel,numeric
AIC(object, k = 2)

Arguments

object
an FLModel object
k
the penalty per parameter to be used; the default 'k = 2' is the classical AIC.

Generic function

AIC(object, k)

See also

AIC, logLik, FLModel

Examples

data(nsher) AIC(nsher)
#> [1] -27.7245