Package: ropper 0.2
ropper: Ranking-Optimized Population Posterior Expected Percentiles
Implements the empirical Bayes ranking method described in Henderson and Hartman (2025) <doi:10.48550/arXiv.2511.16530>. The data structure of interest is a collection of cluster-specific effect size estimates, associated standard errors for these estimates, and cluster-level covariates. Estimates of the rankings of the cluster-specific effect sizes after adjusting for cluster-level covariates are generated.
Authors:
ropper_0.2.tar.gz
ropper_0.2.zip(r-4.7-any)ropper_0.2.zip(r-4.6-any)ropper_0.2.zip(r-4.5-any)
ropper_0.2.tgz(r-4.6-any)ropper_0.2.tgz(r-4.5-any)
ropper_0.2.tar.gz(r-4.7-any)ropper_0.2.tar.gz(r-4.6-any)
ropper_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ropper/json (API)
| # Install 'ropper' in R: |
| install.packages('ropper', repos = c('https://nchenderson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nchenderson/ropper/issues
- mlb2025 - Baseball Winning Percentages in 2025
Last updated from:bd51e7e2bf. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 91 | ||
| source / vignettes | OK | 173 | ||
| linux-release | OK | 119 | ||
| macos-release | OK | 174 | ||
| macos-oldrel | OK | 129 | ||
| windows-devel | OK | 49 | ||
| windows-release | OK | 67 | ||
| windows-oldrel | OK | 57 | ||
| wasm-release | OK | 73 |
Exports:BLUPKnnTausqEstPEPPREMLTausqEstropper
Dependencies:
