Simulating Survival Data from Change-Point Hazard Distributions

Simulates time-to-event data with type I right censoring using two methods: the inverse CDF method and our proposed memoryless method. The latter method takes advantage of the memoryless property of survival and simulates a separate distribution between change-points. We include two parametric distributions: exponential and Weibull. Inverse CDF method draws on the work of Rainer Walke (2010), <>.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.2.0 by Camille Hochheimer, a year ago

Report a bug at

Browse source code at

Authors: Camille Hochheimer [aut, cre]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports plyr, stats, Hmisc, knitr

Suggests rmarkdown, testthat

See at CRAN