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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 (may not be active yet) |
| Author: |
Maria Thurow 
[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:
Downloads:
Linking:
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https://CRAN.R-project.org/package=RealSurvSim
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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.
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