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rebmix (version 2.4.2)

AIC: Akaike Information Criterion

Description

Returns the Akaike information criterion at pos for class REBMIX.

Usage

## S3 method for class 'REBMIX':
AIC(object, pos = 1, ...)
## S3 method for class 'REBMIX':
AIC3(object, pos = 1, ...)
## S3 method for class 'REBMIX':
AIC4(object, pos = 1, ...)
## S3 method for class 'REBMIX':
AICc(object, pos = 1, ...)
## S3 method for class 'REBMIX':
CAIC(object, pos = 1, ...)

Arguments

object
an object of class REBMIX.
pos
a desired row number in summary for which the information criterion is calculated. The default value is 1.
...
currently not used.

References

Akaike H (1974). A New Look at the Statistical Model Identification. IEEE Transactions on Automatic Control, 19, 716-723. Smith AFM, Spiegelhalter DJ (1980). Bayes Factors and Choice Criteria for Linear Models. Journal of the Royal Statistical Society B, 42, 213-220. Hurvich CM, Tsai CL (1989). Regression and Time Series Model Selection in Small Samples. Biometrika, 76, 297-307. Bozdogan H (1987). Model Selection and Akaike's Information Criterion (AIC): The General Theory and its Analytical Extensions. Psychometrika, 52, 345-370.