ropper
0.2Ranking-Optimized Population Posterior Expected Percentiles
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69downloads / year
–test coverage
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Overview
About
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.
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CRAN checks
13OK
Slowest check: 1.1 min · r-release-windows-x86_64
Code health
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Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
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Check history
- OK2026-07-227 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
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- References docs
- 67%
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ropper
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Dependencies
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Depends (1)
R >= 3.5
Imports (2)
statsutils
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Package Timeline
1 release. R releases are shown for context.
- 0.2Latest2026-07-21 · current release
- RR 4.6.0 released · 2026-04-24
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Package metadata
- First published
- 2026-07-21
- Total releases
- 1 / 1 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 1.4 KB / 1 file
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet