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Akaike information criterion / Bayesian information criterion

Source: R/emaxnls-methods.R
AIC.Rd

Akaike information criterion / Bayesian information criterion

Usage

# S3 method for class 'emaxnls'
AIC(object, ..., k = 2)

# S3 method for class 'emaxnls'
BIC(object, ...)

Arguments

object

An emaxnls object

...

Optionally, more fitted model objects

k

Penalty per parameter in the AIC

Value

If just one object is provided, a numeric value with the corresponding AIC (or BIC). If multiple objects are provided, a data.frame with rows corresponding to the objects and columns representing the number of parameters in the model (df) and the AIC or BIC.