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 |
| Reference manual: | ropper.html , ropper.pdf |
| Package source: | ropper_0.2.tar.gz |
| Windows binaries: | r-devel: ropper_0.2.zip, r-release: ropper_0.2.zip, r-oldrel: ropper_0.2.zip |
| macOS binaries: | r-release (arm64): ropper_0.2.tgz, r-oldrel (arm64): ropper_0.2.tgz, r-release (x86_64): ropper_0.2.tgz, r-oldrel (x86_64): ropper_0.2.tgz |
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