AIC | R Documentation |
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 signature 'FLModel,numeric'
AIC(object, k = 2)
object |
an FLModel object |
k |
the penalty per parameter to be used; the default 'k = 2' is the classical AIC. |
AIC(object, k)
The FLR Team
AIC, logLik, FLModel
data(nsher)
AIC(nsher)
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