Calculate the win ratio for prioritized outcomes and the 95% confidence interval based on Bebu and Lachin (2016) <doi:10.1093/biostatistics/kxv032>. Three type of outcomes can be analyzed: survival "failure-time" events, repeated survival "failure-time" events and continuous or ordinal "non-failure time" events that are captured at specific time-points in the study.
| Version: | 1.0 |
| Depends: | R (≥ 4.0.0), tidyverse (≥ 1.3.0) |
| Imports: | Rcpp (≥ 1.0.5), dplyr, magrittr, tidyselect |
| LinkingTo: | Rcpp |
| Suggests: | survival |
| Published: | 2020-11-23 |
| Author: | Kevin Duarte, Joao Pedro Ferreira |
| Maintainer: | Kevin Duarte <k.duarte at chru-nancy.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | WinRatio results |
| Reference manual: | WinRatio.pdf |
| Package source: | WinRatio_1.0.tar.gz |
| Windows binaries: | r-devel: WinRatio_1.0.zip, r-release: WinRatio_1.0.zip, r-oldrel: WinRatio_1.0.zip |
| macOS binaries: | r-release (arm64): WinRatio_1.0.tgz, r-oldrel (arm64): WinRatio_1.0.tgz, r-release (x86_64): WinRatio_1.0.tgz, r-oldrel (x86_64): WinRatio_1.0.tgz |
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