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 main functions are wgtRank(), wgtRankCI() and wgtRanktt().
| Version: | 0.5.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, graphics, mvtnorm, sensitivitymv, senstrat |
| Suggests: | sensitivitymw, sensitivitymult, DOS2 |
| Published: | 2025-08-21 |
| DOI: | 10.32614/CRAN.package.weightedRank |
| Author: | Paul Rosenbaum [aut, cre] |
| Maintainer: | Paul Rosenbaum <rosenbaum at wharton.upenn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | weightedRank results |
| Reference manual: | weightedRank.html , weightedRank.pdf |
| Package source: | weightedRank_0.5.1.tar.gz |
| Windows binaries: | r-devel: weightedRank_0.5.1.zip, r-release: weightedRank_0.5.1.zip, r-oldrel: weightedRank_0.5.1.zip |
| macOS binaries: | r-release (arm64): weightedRank_0.5.1.tgz, r-oldrel (arm64): weightedRank_0.5.1.tgz, r-release (x86_64): weightedRank_0.5.1.tgz, r-oldrel (x86_64): weightedRank_0.5.1.tgz |
| Old sources: | weightedRank archive |
| Reverse suggests: | aamatch, iTOS |
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