Package: cpsurvsim
Type: Package
Title: Simulating Survival Data from Change-Point Hazard Distributions
Version: 1.2.2
Date: 2023-09-05
Author: Camille Hochheimer [aut, cre]
Authors@R: person("Camille", "Hochheimer", 
    email = "dochoch19@gmail.com", role = c("aut", "cre"))
Maintainer: Camille Hochheimer <dochoch19@gmail.com>
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), 
    <https://www.demogr.mpg.de/papers/technicalreports/tr-2010-003.pdf>.
Depends: R (>= 3.6.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: plyr (>= 1.8.5), stats, Hmisc (>= 4.3.0), knitr (>= 1.27)
Suggests: rmarkdown, testthat
RoxygenNote: 7.2.3
VignetteBuilder: knitr
URL: https://github.com/camillejo/cpsurvsim
BugReports: https://github.com/camillejo/cpsurvsim/issues
NeedsCompilation: no
Packaged: 2023-09-05 21:04:10 UTC; hochheic
Repository: CRAN
Date/Publication: 2023-09-05 21:30:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:38:45 UTC; unix
