Package: WR
Type: Package
Title: Win Ratio Analysis of Composite Time-to-Event Outcomes
Version: 1.0.1
Author: Lu Mao and Tuo Wang
Maintainer: Lu Mao <lmao@biostat.wisc.edu>
URL: https://sites.google.com/view/lmaowisc/,
        https://lmaowisc.github.io/WR/
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>).
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
RoxygenNote: 7.3.1
Imports: survival, cubature, gumbel, dplyr, stringr, tidyr, purrr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Config/pak/sysreqs: make libicu-dev
Repository: https://lmaowisc.r-universe.dev
Date/Publication: 2025-01-06 10:21:24 UTC
RemoteUrl: https://github.com/lmaowisc/wr
RemoteRef: HEAD
RemoteSha: 6ad64b52aa428e9b7f225b5208a63c85bc28218d
NeedsCompilation: no
Packaged: 2026-06-16 11:14:02 UTC; root