| sbaic {scaleboot} | R Documentation |
Extract or modify the AIC values for models.
sbaic(x,...) ## S3 method for class 'scaleboot': sbaic(x,k,...) ## S3 method for class 'scalebootv': sbaic(x,...) sbaic(x) <- value ## S3 method for class 'scaleboot': sbaic(x) <- value ## S3 method for class 'scalebootv': sbaic(x) <- value
x |
an object used to select a method. |
k |
numeric, the penalty per parameter to be used. |
value |
numeric vector of AIC values for models. |
... |
sbaic can be used to modify the aic components for
models in x as shown in the examples below.
For an object of class "scaleboot",
sbaic returns a numeric vector of AIC values for
models. If
k is missing, then the aic components in the fi vector of
x are returned. If k is specified, rss-k*df is
calculated for each model. For the usual AIC, k=2. For the BIC
(Schwarz's Bayesian information criterion), k=log(sum(x$nb)).
Hidetoshi Shimodaira
Sakamoto, Y., Ishiguro, M., and Kitagawa G. (1986). Akaike Information Criterion Statistics. D. Reidel Publishing Company.
data(mam15) a <- mam15.relltest[["t4"]] # an object of class "scaleboot" sbaic(a) # print AIC for models sbaic(a,k=log(sum(a$nb))) # print BIC for models sbaic(a) <- sbaic(a,k=log(sum(a$nb))) # set BIC sbaic(a) # print BIC for models