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WR: Win Ratio Analysis of Composite Time-to-Event Outcomes

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>).

Version:1.0
Depends:R (≥ 3.5.0)
Imports:survival,cubature,gumbel
Suggests:knitr,rmarkdown
Published:2021-11-26
DOI:10.32614/CRAN.package.WR
Author:Lu Mao and Tuo Wang
Maintainer:Lu Mao <lmao at biostat.wisc.edu>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://sites.google.com/view/lmaowisc/
NeedsCompilation:no
CRAN checks:WR results

Documentation:

Reference manual:WR.html ,WR.pdf
Vignettes:Proportional win-fractions (PW) regression of composite endpoints of death and nonfatal event (source,R code)
Stratified proportional win-fractions (PW) regression of composite endpoints of death and nonfatal event (source,R code)
Sample size calculation for standard win ratio test (source,R code)
Two-sample win ratio tests of recurrent event and death (source,R code)

Downloads:

Package source: WR_1.0.tar.gz
Windows binaries: r-devel:WR_1.0.zip, r-release:WR_1.0.zip, r-oldrel:WR_1.0.zip
macOS binaries: r-release (arm64):WR_1.0.tgz, r-oldrel (arm64):WR_1.0.tgz, r-release (x86_64):WR_1.0.tgz, r-oldrel (x86_64):WR_1.0.tgz
Old sources: WR archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=WRto link to this page.


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