High-Performance Open-Source Archive
Calculate the win statistics (win ratio, net benefit and win odds) for prioritized multiple endpoints, plot the win statistics and win proportions over study time if at least one time-to-event endpoint is analyzed, and simulate datasets with dependent endpoints. The package can handle any type of outcomes (continuous, ordinal, binary, time-to-event) and allow users to perform stratified analysis, inverse probability of censoring weighting (IPCW) and inverse probability of treatment weighting (IPTW) analysis.
| Version: | 1.5.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | copula, ggplot2, ggpubr, reshape2, survival, stringr, viridis |
| Suggests: | knitr, rmarkdown |
| Published: | 2025-07-02 |
| DOI: | 10.32614/CRAN.package.WINS |
| Author: | Ying Cui [aut, cre], Bo Huang [aut] |
| Maintainer: | Ying Cui <cuiyingbeicheng at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | WINS results |
| Reference manual: | WINS.html , WINS.pdf |
| Vignettes: |
Introduction to the R Package 'WINS' (source, R code) |
| Package source: | WINS_1.5.1.tar.gz |
| Windows binaries: | r-devel: WINS_1.5.1.zip, r-release: WINS_1.5.1.zip, r-oldrel: WINS_1.5.1.zip |
| macOS binaries: | r-release (arm64): WINS_1.5.1.tgz, r-oldrel (arm64): WINS_1.5.1.tgz, r-release (x86_64): WINS_1.5.1.tgz, r-oldrel (x86_64): WINS_1.5.1.tgz |
| Old sources: | WINS archive |
| Reverse suggests: | causalWins |
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