Returns the Akaike information criterion at pos.
# S4 method for REBMIX
AIC(x = NULL, pos = 1, ...)
# S4 method for REBMIX
AIC3(x = NULL, pos = 1, ...)
# S4 method for REBMIX
AIC4(x = NULL, pos = 1, ...)
# S4 method for REBMIX
AICc(x = NULL, pos = 1, ...)
# S4 method for REBMIX
CAIC(x = NULL, pos = 1, ...)
## ... and for other signaturessee Methods section below.
a desired row number in x@summary for which the information criterion is calculated. The default value is 1.
currently not used.
signature(x = "REBMIX")an object of class REBMIX.
signature(x = "REBMVNORM")an object of class REBMVNORM.
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.