Simulating Survival Data from Change-Point Hazard Distributions R package cpsurvsim version 1.2.2 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), <https://www.demogr.mpg.de/papers/technicalreports/tr-2010-003.pdf>. Software Depends: R (>= 3.6.0) Imports: plyr (>= 1.8.5), stats, Hmisc (>= 4.3.0), knitr (>= 1.27) Suggests: rmarkdown, testthat Camille Hochheimer <dochoch19@gmail.com> Comprehensive R Archive Network (CRAN) Camille Hochheimer [aut, cre] GPL (>= 3) 2023-09-05 application/tgz https://CRAN.R-project.org/package=cpsurvsim doi:10.32614/CRAN.package.cpsurvsim