Learn R Programming

aod (version 1.1-35)

summary,aic-method: Akaike Information Statistics

Description

Computes Akaike difference and Akaike weights from an object of formal class aic.

Usage

## S3 method for class 'aic':
summary(object, which = c("AIC", "AICc"))

Arguments

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.

References

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.

See Also

Examples in betabin and AIC in package stats.