Package: cpsurvsim 1.2.2.9000

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>.

Authors:Camille Hochheimer [aut, cre]

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cpsurvsim.pdf |cpsurvsim.html
cpsurvsim/json (API)

# Install 'cpsurvsim' in R:
install.packages('cpsurvsim', repos = c('https://camillejo.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/camillejo/cpsurvsim/issues

On CRAN:

3.08 score 12 scripts 246 downloads 6 exports 67 dependencies

Last updated 1 years agofrom:920224475c. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesFAILOct 30 2024
R-4.5-winWARNINGOct 30 2024
R-4.5-linuxWARNINGOct 30 2024
R-4.4-winWARNINGOct 30 2024
R-4.4-macWARNINGOct 30 2024
R-4.3-winWARNINGOct 30 2024
R-4.3-macWARNINGOct 30 2024

Exports:exp_cdfsimexp_icdfexp_memsimweib_cdfsimweib_icdfweib_memsim

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigplyrR6rappdirsRColorBrewerRcpprlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml

Introduction to cpsurvsim

Rendered fromcpsurvsim-vignette.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2019-05-07
Started: 2019-05-07