weightedRank
0.7.0Sensitivity Analysis Using Weighted Rank Statistics
Overview
Performs a sensitivity analysis using weighted rank tests in observational studies with I blocks of size J; see Rosenbaum (2024) doi:10.1080/01621459.2023.2221402. The package can perform adaptive inference in block designs; see Rosenbaum (2012) doi:10.1093/biomet/ass032. The package can increase design sensitivity using the conditioning tactic in Rosenbaum (2025) doi:10.1093/jrsssb/qkaf007. The main functions are wgtRank(), wgtRankCI(), wgtRanktt() and wgtRankC().
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-06-0712 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 94%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 100%
Downloads
Dependencies
Code & Tests
Datasets
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2022-07-14
- Total releases
- 5 / 4 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 274 KB / 5 files
- Download size
- 324 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("weightedRank")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.