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: 1.1.0
Depends: R (≥ 3.5.0)
Imports: plyr (≥ 1.8.0), stats, Hmisc, knitr (≥ 1.21)
Suggests: rmarkdown
Published: 2019-06-03
Author: Camille Hochheimer [aut, cre]
Maintainer: Camille Hochheimer <hochheimercj at vcu.edu>
BugReports: http://github.com/camillejo/cpsurvsim/issues
License: GPL (≥ 3)
URL: http://github.com/camillejo/cpsurvsim
NeedsCompilation: no
Citation: cpsurvsim citation info
CRAN checks: cpsurvsim results

Downloads:

Reference manual: cpsurvsim.pdf
Vignettes: Introduction to cpsurvsim
Package source: cpsurvsim_1.1.0.tar.gz
Windows binaries: r-devel: cpsurvsim_1.1.0.zip, r-devel-gcc8: cpsurvsim_1.1.0.zip, r-release: cpsurvsim_1.1.0.zip, r-oldrel: cpsurvsim_1.1.0.zip
OS X binaries: r-release: cpsurvsim_1.1.0.tgz, r-oldrel: cpsurvsim_1.1.0.tgz

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