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RealSurvSim: Simulate Survival Data

Provides tools for simulating synthetic survival data using a variety of methods, including kernel density estimation, parametric distribution fitting, and bootstrap resampling techniques for a desired sample size.

Version: 1.0.0
Depends: R (≥ 3.5)
Imports: fitdistrplus, kdensity, survival, univariateML, actuar, flexsurv, stats, FAdist
Suggests: testthat (≥ 3.0.0)
Published: 2025-12-09
DOI: 10.32614/CRAN.package.RealSurvSim
Author: Maria Thurow ORCID iD [aut, cre], Manasi Butee [aut], Ina Dormuth [ctb], Christina Sauer [ctb], Marc Ditzhaus [ctb], Markus Pauly [ctb]
Maintainer: Maria Thurow <maria.thurow at tu-dortmund.de>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: RealSurvSim results

Documentation:

Reference manual: RealSurvSim.html , RealSurvSim.pdf

Downloads:

Package source: RealSurvSim_1.0.0.tar.gz
Windows binaries: r-devel: RealSurvSim_1.0.0.zip, r-release: RealSurvSim_1.0.0.zip, r-oldrel: RealSurvSim_1.0.0.zip
macOS binaries: r-release (arm64): RealSurvSim_1.0.0.tgz, r-oldrel (arm64): RealSurvSim_1.0.0.tgz, r-release (x86_64): RealSurvSim_1.0.0.tgz, r-oldrel (x86_64): RealSurvSim_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.