Akaike information criterion for zibellreg objects

Usage

# S3 method for class 'zibellreg'
AIC(object, ..., k = 2)

Arguments

object: an object of the class zibellreg.
...: 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.

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.

Examples

# \donttest{
library(bellreg)
data(cells)
fit1 <- zibellreg(cells ~ 1|1, data = cells, approach = "mle")
fit2 <- zibellreg(cells ~ 1|smoker+gender, data = cells, approach = "mle")
fit3 <- zibellreg(cells ~ smoker+gender|smoker+gender, data = cells, approach = "mle")
AIC(fit1, fit2, fit3)
#>    fit      aic npars
#> 1 fit3 1232.647     6
#> 2 fit2 1252.889     4
#> 3 fit1 1311.304     2
# }