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rebmix (version 2.8.0)

AIC-methods: Akaike Information Criterion

Description

Returns the Akaike information criterion at pos.

Usage

## S3 method for class 'REBMIX':
AIC(x = NULL, pos = 1, ...)
## S3 method for class 'REBMIX':
AIC3(x = NULL, pos = 1, ...)
## S3 method for class 'REBMIX':
AIC4(x = NULL, pos = 1, ...)
## S3 method for class 'REBMIX':
AICc(x = NULL, pos = 1, ...)
## S3 method for class 'REBMIX':
CAIC(x = NULL, pos = 1, ...)
## ... and for other signatures

Arguments

x
see Methods section below.
pos
a desired row number in summary for which the information criterion is calculated. The default value is 1.
...
currently not used.

References

H. Akaike. A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(51):716-723, 1974. A. F. M. Smith and D. J. Spiegelhalter. Bayes factors and choice criteria for linear models. Journal of the Royal Statistical Society. Series B, 42(2):213-220, 1980. http://www.jstor.org/stable/2984964. H. Bozdogan. Model selection and akaike's information criterion (aic): The general theory and its analytical extensions. Psychometrika, 52(3):345-370, 1987. http://dx.doi.org/10.1007/BF02294361. C. M. Hurvich and C.-L. Tsai. Regression and time series model selection in small samples. Biometrika, 76(2):297-307, 1989. http://www.jstor.org/stable/2336663.