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An interactive 'shiny' application for sample size and power calculation under general conditions for clinical trials with survival endpoints. Implements the weighted log-rank method of Lu (2021) <doi:10.1002/pst.2069> via the 'lrstat' package, supporting non-proportional hazards, delayed treatment effects, unequal allocation and dropout, as well as the classic method of Freedman (1982) <doi:10.1002/sim.4780010204> via the 'powerSurvEpi' package. Results are presented interactively with survival curves and event-prediction timelines.
| Version: | 0.1.2 |
| Imports: | lrstat, powerSurvEpi, shiny, stats |
| Suggests: | bslib, DT, ggplot2, knitr, plotly, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-06-21 |
| DOI: | 10.32614/CRAN.package.survSampleSize |
| Author: | Huai Jiang [aut, cre] |
| Maintainer: | Huai Jiang <13661928191 at 163.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | survSampleSize results |
| Reference manual: | survSampleSize.html , survSampleSize.pdf |
| Vignettes: |
Getting started with survSampleSize (source, R code) |
| Package source: | survSampleSize_0.1.2.tar.gz |
| Windows binaries: | r-devel: survSampleSize_0.1.2.zip, r-release: survSampleSize_0.1.2.zip, r-oldrel: survSampleSize_0.1.2.zip |
| macOS binaries: | r-release (arm64): survSampleSize_0.1.2.tgz, r-oldrel (arm64): survSampleSize_0.1.2.tgz, r-release (x86_64): survSampleSize_0.1.2.tgz, r-oldrel (x86_64): survSampleSize_0.1.2.tgz |
| Old sources: | survSampleSize archive |
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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.