Rank fitted spbp models by AIC

Convenience wrapper around AIC that returns models sorted from lowest to highest AIC.

Usage

rank_models(...)

Arguments

...

One or more fitted "spbp" objects (MLE).

Value

A data.frame with columns fit, model, degree, aic, and npars.

Examples

if (FALSE) { # \dontrun{
library(spsurv)
data(veteran, package = "survival")
f1 <- bpph(Surv(time, status) ~ 1, data = veteran, degree = 4)
f2 <- bpph(Surv(time, status) ~ karno, data = veteran, degree = 4)
rank_models(f1, f2)
} # }