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WWR  

Weighted Win Loss Statistics and their Variances
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("WWR", "1.2.2")



Attach the package and use:
library("WWR")
Maintained by
Xiaodong Luo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-12
Latest Update:
Description:
Calculate the (weighted) win loss statistics including the win ratio, win difference and win product and their variances, with which the p-values are also calculated. The variance estimation is based on Luo et al. (2015) and Luo et al. (2017) . This package also calculates general win loss statistics with user-specified win loss function with variance estimation based on Bebu and Lachin (2016) . This version corrected an error when outputting confidence interval for win difference.
How to cite:
Xiaodong Luo (2017). WWR: Weighted Win Loss Statistics and their Variances. R package version 1.2.2, https://cran.r-project.org/web/packages/WWR. Accessed 09 Mar. 2026.
Previous versions and publish date:
1.0.0 (2017-02-12 05:36), 1.1.0 (2017-04-10 11:18), 1.2.0 (2017-06-14 07:44), 1.2.1 (2017-10-14 05:21), 1.2.2 (2017-10-25 05:40)
Other packages that cited WWR R package
View WWR citation profile
Other R packages that WWR depends, imports, suggests or enhances
Functions, R codes and Examples using the WWR R package
Some associated functions: WWR-package . genwr . winratio . wlogr2 . wwratio . 
Some associated R codes: genwr.R . sfunc.R . winratio.R . wlogr2.R . wwratio.R .  Full WWR package functions and examples
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