The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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 |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=WR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.