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

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:

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