AIC: Akaike information criterion (AIC) method

In FLCore: Core package of FLR, fisheries modelling in R.

Description

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

Generic function

AIC(object, k)

Method arguments

object :

an object of class FLModel or of one that inherits from it.

k :

numeric, the "penalty" per parameter to be used; the default k = 2 is the classical AIC.

Methods

signature(object=FLModel, k=numeric) :

AIC of an FLModel object with an specified value for the "penalty".

signature(object=FLModel, k=missing) :

AIC of an FLModel object with the default "penalty".

Author(s)

The FLR Team

See Also

AIC, logLik, FLModel

Examples

data(nsher)
AIC(nsher)

FLCore documentation built on May 2, 2019, 5:46 p.m.