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().

Version:	0.7.0
Depends:	R (≥ 3.5.0)
Imports:	stats, graphics, mvtnorm, sensitivitymv, senstrat, BiasedUrn
Suggests:	sensitivitymw, sensitivitymult, DOS2, aamatch, nbpMatching, MASS
Published:	2026-01-11
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

Documentation:

Reference manual:

weightedRank.html , weightedRank.pdf

Downloads:

Package source:	weightedRank_0.7.0.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 dependencies:

Reverse suggests:

aamatch, iTOS

Linking:

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