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.
Arguments
- object
an FLModel object
- k
the penalty per parameter to be used; the default 'k = 2' is the classical AIC.
Examples
data(nsher)
AIC(nsher)
#> [1] -27.7245