rsurv {ipred}R Documentation

Simulate Survival Data


Simulation Setup for Survival Data.


rsurv(N, model=c("A", "B", "C", "D", "tree"), gamma=NULL, fact=1, pnon=10,


N number of observations.
model type of model.
gamma simulate censoring time as runif(N, 0, gamma). Defaults to NULL (no censoring).
fact scale parameter for model=tree.
pnon number of additional non-informative variables for the tree model.
gethaz logical, indicating wheather the hazard rate for each observation should be returned.


Simulation setup similar to configurations used in LeBlanc and Crowley (1992) or Keles and Segal (2002) as well as a tree model used in Hothorn et al. (2002). See Hothorn et al. (2003) for the details.


A data frame with elements time, cens, X1 ... X5. If pnon > 0, additional noninformative covariables are added. If gethaz=TRUE, the hazard attribute returns the hazard rates.


M. LeBlanc and J. Crowley (1992), Relative Risk Trees for Censored Survival Data. Biometrics 48, 411–425.

S. Keles and M. R. Segal (2002), Residual-based tree-structured survival analysis. Statistics in Medicine, 21, 313–326.

Torsten Hothorn, Berthold Lausen, Axel Benner and Martin Radespiel-Troeger (2004), Bagging Survival Trees. Statistics in Medicine, 23(1), 77–91.


# 3*X1 + X2
simdat <- rsurv(500, model="C")
coxph(Surv(time, cens) ~ ., data=simdat)

[Package ipred version 0.8-1 Index]