Package: cpsurvsim
Type: Package
Title: Simulating Survival Data from Change-Point Hazard Distributions
Version: 1.2.2.9000
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
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://camillejo.r-universe.dev
Date/Publication: 2023-09-05 19:34:55 UTC
RemoteUrl: https://github.com/camillejo/cpsurvsim
RemoteRef: HEAD
RemoteSha: 920224475c0671fee409416dd54f6c505f1592fb
NeedsCompilation: no
Packaged: 2026-10-18 07:22:03 UTC; root