Akaike information criterion

Akaike information criterion

Usage

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

Arguments

object

an object of the class survstan.

...

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(survstan)
fit1 <- aftreg(Surv(futime, fustat) ~ 1, data = ovarian, baseline = "weibull", init = 0)
fit2 <- aftreg(Surv(futime, fustat) ~ rx, data = ovarian, baseline = "weibull", init = 0)
fit3 <- aftreg(Surv(futime, fustat) ~ ecog.ps + rx, data = ovarian, baseline = "weibull", init = 0)
AIC(fit1, fit2, fit3)
#>    fit       aic npars
#> 1 fit1  29.21194     2
#> 2 fit2 200.72830     3
#> 3 fit3 202.16899     4
# }