The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.pdf
Vignettes: Introduction to cpsurvsim

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 form https://CRAN.R-project.org/package=cpsurvsim to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.