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Calculate the Akaike Information Criterion (AIC) for a 'colsa' object

Source: R/colsa.R
AIC.colsa.Rd

This function computes the AIC for a given 'colsa' object. The AIC is a measure of the relative quality of a statistical model for a given dataset. It is calculated as: \(-2 * logLik + 2 * k\), where k is the number of parameters in the model.

Usage

# S3 method for class 'colsa'
AIC(object, ...)

Arguments

object

An object of class "colsa" for which the AIC is to be calculated.

...

Additional arguments (currently not used).

Value

A numeric value representing the AIC of the model.

See also

logLik.colsa, BIC.colsa