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>.
|Author||Camille Hochheimer [aut, cre]|
|Maintainer||Camille Hochheimer <firstname.lastname@example.org>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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