| summary,aic-method {aod} | R Documentation |
Computes Akaike difference and Akaike weights from an object of formal class “aic”.
## S4 method for signature 'aic'
summary(object, which = c("AIC", "AICc"))
object |
An object of formal class “aic”. |
which |
A character string indicating which information criterion is selected to compute Akaike difference and Akaike weights: either “AIC” or “AICc”. |
Burnham, K.P., Anderson, D.R., 2002. Model selection and multimodel inference: a practical
information-theoretic approach. New-York, Springer-Verlag, 496 p.
Hurvich, C.M., Tsai, C.-L., 1995. Model selection for extended quasi-likelihood models in small samples.
Biometrics, 51 (3): 1077-1084.
Examples in betabin and AIC in package stats.