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WinRatio  

Win Ratio for Prioritized Outcomes and 95% Confidence Interval
View on CRAN: Click here


Download and install WinRatio package within the R console
Install from CRAN:
install.packages("WinRatio")

Install from Github:
library("remotes")
install_github("cran/WinRatio")

Install by package version:
library("remotes")
install_version("WinRatio", "1.0")



Attach the package and use:
library("WinRatio")
Maintained by
Kevin Duarte
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-23
Latest Update: 2020-11-23
Description:
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.
How to cite:
Kevin Duarte (2020). WinRatio: Win Ratio for Prioritized Outcomes and 95% Confidence Interval. R package version 1.0, https://cran.r-project.org/web/packages/WinRatio. Accessed 25 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited WinRatio R package
View WinRatio citation profile
Other R packages that WinRatio depends, imports, suggests or enhances
Complete documentation for WinRatio
Functions, R codes and Examples using the WinRatio R package
Some associated functions: WinRatio-package . is.binary . summary.WinRatio . winratio . 
Some associated R codes: is.binary.R . summary.WinRatio.R . winratio.R .  Full WinRatio package functions and examples
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