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 |
| 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-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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