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cpsurvsim  

Simulating Survival Data from Change-Point Hazard Distributions
View on CRAN: Click here


Download and install cpsurvsim package within the R console
Install from CRAN:
install.packages("cpsurvsim")

Install from Github:
library("remotes")
install_github("cran/cpsurvsim")

Install by package version:
library("remotes")
install_version("cpsurvsim", "1.2.2")



Attach the package and use:
library("cpsurvsim")
Maintained by
Camille Hochheimer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-03
Latest Update: 2023-09-05
Description:
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), .
How to cite:
Camille Hochheimer (2019). cpsurvsim: Simulating Survival Data from Change-Point Hazard Distributions. R package version 1.2.2, https://cran.r-project.org/web/packages/cpsurvsim. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.1.0 (2019-06-03 15:00), 1.2.0 (2020-01-20 22:00), 1.2.1 (2022-01-14 02:22)
Other packages that cited cpsurvsim R package
View cpsurvsim citation profile
Other R packages that cpsurvsim depends, imports, suggests or enhances
Complete documentation for cpsurvsim
Functions, R codes and Examples using the cpsurvsim R package
Some associated functions: cpsurvsim . exp_cdfsim . exp_icdf . exp_memsim . weib_cdfsim . weib_icdf . weib_memsim . 
Some associated R codes: cpsurvsim.R . expfns.R . weibullfns.R .  Full cpsurvsim package functions and examples
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