Ranking-Optimized Population Posterior Expected Percentiles R package ropper version 0.2 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. Software Depends: R (>= 3.5) Imports: stats, utils Nicholas Henderson <nchender@umich.edu> Comprehensive R Archive Network (CRAN) Nicholas Henderson [cre, aut], Nicholas Hartman [aut] GPL-2 2026-07-21 application/tgz https://CRAN.R-project.org/package=ropper doi:10.32614/CRAN.package.ropper