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WR  

Win Ratio Analysis of Composite Time-to-Event Outcomes
View on CRAN: Click here


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

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

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



Attach the package and use:
library("WR")
Maintained by
Lu Mao
[Scholar Profile | Author Map]
First Published: 2019-10-06
Latest Update: 2021-11-26
Description:
Implements various win ratio methodologies for composite endpoints of death and non-fatal events, including the (stratified) proportional win-fractions (PW) regression models (Mao and Wang, 2020 <doi:10.1111/biom.13382>), (stratified) two-sample tests with possibly recurrent nonfatal event, and sample size calculation for standard win ratio test (Mao et al., 2021 <doi:10.1111/biom.13501>).
How to cite:
Lu Mao (2019). WR: Win Ratio Analysis of Composite Time-to-Event Outcomes. R package version 1.0, https://cran.r-project.org/web/packages/WR. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1.0 (2019-10-06 15:00), 0.1.1 (2020-01-27 17:40)
Other packages that cited WR R package
View WR citation profile
Other R packages that WR depends, imports, suggests or enhances
Complete documentation for WR
Functions, R codes and Examples using the WR R package
Some associated functions: WRSS . WRrec . base . gbc . gumbel.est . hfaction_cpx9 . non_ischemic . plot.pwreg.score . print.WRrec . print.pwreg . print.pwreg.score . pwreg . score.proc . 
Some associated R codes: data.R . functions.R . functions_SS.R . functions_rec.R . generic.R .  Full WR package functions and examples
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