cpsurvsim
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), <https://www.demogr.mpg.de/papers/technicalreports/tr-2010-003.pdf>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.2 |
rolling linux/jammy R-4.5 | cpsurvsim_1.2.2.tar.gz |
51.2 KiB |
1.2.2 |
rolling linux/noble R-4.5 | cpsurvsim_1.2.2.tar.gz |
51.2 KiB |
1.2.2 |
rolling source/ R- | cpsurvsim_1.2.2.tar.gz |
12.7 KiB |
1.2.2 |
latest linux/jammy R-4.5 | cpsurvsim_1.2.2.tar.gz |
51.2 KiB |
1.2.2 |
latest linux/noble R-4.5 | cpsurvsim_1.2.2.tar.gz |
51.2 KiB |
1.2.2 |
latest source/ R- | cpsurvsim_1.2.2.tar.gz |
12.7 KiB |
1.2.2 |
2026-04-26 source/ R- | cpsurvsim_1.2.2.tar.gz |
12.7 KiB |
1.2.2 |
2026-04-23 source/ R- | cpsurvsim_1.2.2.tar.gz |
12.7 KiB |
1.2.2 |
2026-04-09 windows/windows R-4.5 | cpsurvsim_1.2.2.zip |
56.0 KiB |
1.2.2 |
2025-04-20 source/ R- | cpsurvsim_1.2.2.tar.gz |
12.7 KiB |