WinRatio: Win Ratio for Prioritized Outcomes and 95% Confidence Interval

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

Documentation:

Reference manual: WinRatio.pdf

Downloads:

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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