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 and inverse probability of censoring weighting (IPCW) analysis.
| Version: | 1.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | copula, ggplot2, ggpubr, reshape2, survival, stringr, viridis |
| Suggests: | knitr, rmarkdown |
| Published: | 2022-09-09 |
| 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.pdf |
| Vignettes: |
Introduction to the R Package 'WINS' |
| Package source: | WINS_1.3.tar.gz |
| Windows binaries: | r-devel: WINS_1.3.zip, r-release: WINS_1.3.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): WINS_1.2.tgz, r-oldrel (arm64): WINS_1.2.tgz, r-release (x86_64): WINS_1.2.tgz, r-oldrel (x86_64): WINS_1.2.tgz |
| Old sources: | WINS archive |
Please use the canonical form https://CRAN.R-project.org/package=WINS to link to this page.