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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2 |
rolling linux/jammy R-4.5 | ropper_0.2.tar.gz |
49.7 KiB |
0.2 |
rolling linux/noble R-4.5 | ropper_0.2.tar.gz |
49.7 KiB |
0.2 |
rolling source/ R- | ropper_0.2.tar.gz |
11.4 KiB |
0.2 |
latest linux/jammy R-4.5 | ropper_0.2.tar.gz |
49.7 KiB |
0.2 |
latest linux/noble R-4.5 | ropper_0.2.tar.gz |
49.7 KiB |
0.2 |
latest source/ R- | ropper_0.2.tar.gz |
11.4 KiB |
0.2 |
2026-04-23 source/ R- | ropper_0.2.tar.gz |
0 B |