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:
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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')) |
Bug tracker:https://github.com/camillejo/cpsurvsim/issues
Last updated 1 years agofrom:920224475c. Checks:ERROR: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Oct 30 2024 |
R-4.5-win | WARNING | Oct 30 2024 |
R-4.5-linux | WARNING | Oct 30 2024 |
R-4.4-win | WARNING | Oct 30 2024 |
R-4.4-mac | WARNING | Oct 30 2024 |
R-4.3-win | WARNING | Oct 30 2024 |
R-4.3-mac | WARNING | Oct 30 2024 |
Exports:exp_cdfsimexp_icdfexp_memsimweib_cdfsimweib_icdfweib_memsim
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigplyrR6rappdirsRColorBrewerRcpprlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml
Introduction to cpsurvsim
Rendered fromcpsurvsim-vignette.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2019-05-07
Started: 2019-05-07