Package: powerHE 1.0.1
Sarah Wu
powerHE: Power and Sample Size Calculations with Hierarchical Endpoints
Calculate sample size or power for hierarchical endpoints. The package can handle any type of outcomes (binary, continuous, count, ordinal, time-to-event) and any number of such endpoints. It allows users to calculate sample size with a given power or to calculate power with a given sample size for hypothesis testing based on win ratios, win odds, net benefit, or DOOR (desirability of outcome ranking) as treatment effect between two groups for hierarchical endpoints. The methods of this package are described further in the paper by Barnhart, H. X. et al. (2024, <doi:10.1080/19466315.2024.2365629>).
Authors:
powerHE_1.0.1.tar.gz
powerHE_1.0.1.tar.gz(r-4.5-noble)powerHE_1.0.1.tar.gz(r-4.4-noble)
powerHE_1.0.1.tgz(r-4.4-emscripten)powerHE_1.0.1.tgz(r-4.3-emscripten)
powerHE.pdf |powerHE.html✨
powerHE/json (API)
| # Install 'powerHE' in R: |
| install.packages('powerHE', repos = c('https://cran.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 2 days agofrom:13159d4adb. Checks:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 24 2025 |
| R-4.5-linux | OK | Mar 24 2025 |
| R-4.4-linux | OK | Mar 24 2025 |
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Format powerHE Results | formatHE |
| Hierarchical Endpoints | powerHE |