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”. |
- the Akaike difference Delta: the change in AIC (or AICc) between successive (ordered) models,
- the Akaike weight W: when r models are compared, W = exp(-0.5 * Delta) / sum(exp(-0.5 * Delta)),
- the cumulative Akaike weight cum.W: the Akaike weights sum to 1 for the r models which are compared.
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.