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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>.

Version:1.2.2
Depends:R (≥ 3.6.0)
Imports:plyr (≥ 1.8.5), stats,Hmisc (≥ 4.3.0),knitr (≥ 1.27)
Suggests:rmarkdown,testthat
Published:2023-09-05
DOI:10.32614/CRAN.package.cpsurvsim
Author:Camille Hochheimer [aut, cre]
Maintainer:Camille Hochheimer <dochoch19 at gmail.com>
BugReports:https://github.com/camillejo/cpsurvsim/issues
License:GPL (≥ 3)
URL:https://github.com/camillejo/cpsurvsim
NeedsCompilation:no
Citation:cpsurvsim citation info
CRAN checks:cpsurvsim results

Documentation:

Reference manual:cpsurvsim.html ,cpsurvsim.pdf
Vignettes:Introduction to cpsurvsim (source,R code)

Downloads:

Package source: cpsurvsim_1.2.2.tar.gz
Windows binaries: r-devel:cpsurvsim_1.2.2.zip, r-release:cpsurvsim_1.2.2.zip, r-oldrel:cpsurvsim_1.2.2.zip
macOS binaries: r-release (arm64):cpsurvsim_1.2.2.tgz, r-oldrel (arm64):cpsurvsim_1.2.2.tgz, r-release (x86_64):cpsurvsim_1.2.2.tgz, r-oldrel (x86_64):cpsurvsim_1.2.2.tgz
Old sources: cpsurvsim archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=cpsurvsimto link to this page.


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