Other packages > Find by keyword >

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 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:29), 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA