weightedRank
Sensitivity Analysis Using Weighted Rank Statistics
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().
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.7.0 |
rolling linux/jammy R-4.5 | weightedRank_0.7.0.tar.gz |
422.5 KiB |
0.7.0 |
rolling linux/noble R-4.5 | weightedRank_0.7.0.tar.gz |
422.6 KiB |
0.7.0 |
rolling source/ R- | weightedRank_0.7.0.tar.gz |
324.4 KiB |
0.7.0 |
latest linux/jammy R-4.5 | weightedRank_0.7.0.tar.gz |
422.5 KiB |
0.7.0 |
latest linux/noble R-4.5 | weightedRank_0.7.0.tar.gz |
422.6 KiB |
0.7.0 |
latest source/ R- | weightedRank_0.7.0.tar.gz |
324.4 KiB |
0.7.0 |
2026-04-26 source/ R- | weightedRank_0.7.0.tar.gz |
324.4 KiB |
0.7.0 |
2026-04-23 source/ R- | weightedRank_0.7.0.tar.gz |
324.4 KiB |
0.7.0 |
2026-04-09 windows/windows R-4.5 | weightedRank_0.7.0.zip |
426.1 KiB |
0.3.7 |
2025-04-20 source/ R- | weightedRank_0.3.7.tar.gz |
92.5 KiB |