Package: cpsurvsim
Type: Package
Title: Simulating Survival Data from Change-Point Hazard Distributions
Version: 1.2.0
Date: 2020-01-20
Author: Camille Hochheimer [aut, cre]
Authors@R: person("Camille", "Hochheimer", 
    email = "hochheimercj@vcu.edu", role = c("aut", "cre"))
Maintainer: Camille Hochheimer <hochheimercj@vcu.edu>
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
LazyData: true
Imports: plyr (>= 1.8.5), stats, Hmisc (>= 4.3.0), knitr (>= 1.27)
Suggests: rmarkdown, testthat
RoxygenNote: 7.0.2
VignetteBuilder: knitr
URL: http://github.com/camillejo/cpsurvsim
BugReports: http://github.com/camillejo/cpsurvsim/issues
NeedsCompilation: no
Packaged: 2020-01-20 19:01:00 UTC; Camille
Repository: CRAN
Date/Publication: 2020-01-20 21:00:02 UTC
