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.
| Version: |
0.2 |
| Depends: |
R (≥ 3.5) |
| Imports: |
stats, utils |
| Published: |
2026-07-21 |
| DOI: |
10.32614/CRAN.package.ropper |
| Author: |
Nicholas Henderson [cre, aut],
Nicholas Hartman [aut] |
| Maintainer: |
Nicholas Henderson <nchender at umich.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
ropper results |
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