AIC {FLCore} | R Documentation

## Akaike information criterion (AIC) method

### 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)

[Package FLCore version 2.2 Index]