spsurv (version 1.1.0)

rank_models: Rank fitted spbp models by AIC

Description

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

Usage

rank_models(...)

Value

A data.frame with columns fit, model,

degree, aic, and npars.

Arguments

...

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

Examples

if (FALSE) {
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)
}