rsurv-package {rsurv}

The 'rsurv' package.

Description

Random generation of survival data based on different survival regression models available in the literature, including Accelerated Failure Time (AFT) model, Proportional Hazard (PH) model, Proportional Odds (PO) model and the Yang & Prentice (YP) model.

_PACKAGE

References

Demarqui FN, Mayrink VD (2021). “Yang and Prentice model with piecewise exponential baseline distribution for modeling lifetime data with crossing survival curves.” Brazilian Journal of Probability and Statistics, 35(1), 172 – 186. doi:10.1214/20-BJPS471.

Yang S, Prentice RL (2005). “Semiparametric analysis of short-term and long-term hazard ratios with two-sample survival data.” Biometrika, 92(1), 1-17.