Calculates second-order Akaike information criterion for one or several fitted
model objects (AIC for small samples).
Usage
AICc(object, ..., k = 2)
Arguments
object
a fitted model object
...
optionally more fitted model objects
k
the penalty per parameter to be used; the default k =
2 is the classical AIC
Value
If just one object is provided, returns a numeric value with the
corresponding AICc; if more than one object are provided, returns a
data.frame with rows corresponding to the objects and columns
representing the number of parameters in the model (df), AICc and the
AIC.
encoding
utf-8
References
Burnham, K. P. and Anderson, D. R (2002) Model selection and multimodel
inference: a practical information-theoretic approach. 2nd ed.