bellreg (version 0.0.2.1)

AIC.bellreg: Akaike information criterion

Description

Akaike information criterion

Usage

# S3 method for bellreg
AIC(object, ..., k = 2)

Value

the Akaike information criterion value when a single model is passed to the function; otherwise, a data.frame with the Akaike information criterion values and the number of parameters is returned.

Arguments

object

an object of the class bellreg.

...

further arguments passed to or from other methods.

k

numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC.

Examples

# \donttest{
library(bellreg)
data(faults)
fit1 <- bellreg(nf ~ 1, data = faults, approach = "mle")
fit2 <- bellreg(nf ~ lroll, data = faults, approach = "mle")
AIC(fit1, fit2)
# }