Introduction to the win-ratio | Sample size calculation | Power calculation | Confidence Interval calculation
Package: WRestimates 0.1.0
WRestimates: Sample Size, Power and CI for the Win Ratio
Calculates non-parametric estimates of the sample size, power and confidence intervals for the win-ratio. For more detail on the theory behind the methodologies implemented see Yu, R. X. and Ganju, J. (2022) <doi:10.1002/sim.9297>.
Authors:
WRestimates_0.1.0.tar.gz
WRestimates_0.1.0.zip(r-4.7-any)WRestimates_0.1.0.zip(r-4.6-any)WRestimates_0.1.0.zip(r-4.5-any)
WRestimates_0.1.0.tgz(r-4.6-any)WRestimates_0.1.0.tgz(r-4.5-any)
WRestimates_0.1.0.tar.gz(r-4.7-any)WRestimates_0.1.0.tar.gz(r-4.6-any)
WRestimates_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
WRestimates/json (API)
| # Install 'WRestimates' in R: |
| install.packages('WRestimates', repos = c('https://autumnlou.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9d44f2d875. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 107 | ||
| source / vignettes | OK | 149 | ||
| linux-release | OK | 138 | ||
| macos-release | OK | 165 | ||
| macos-oldrel | OK | 187 | ||
| windows-devel | OK | 71 | ||
| windows-release | OK | 59 | ||
| windows-oldrel | OK | 63 | ||
| wasm-release | OK | 77 |
Exports:wr.ciwr.powerwr.sigma.sqrwr.sswr.var
Dependencies:
