Sensitivity Analysis Using Weighted Rank Statistics R package weightedRank version 0.7.0 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(). Software Depends: R (>= 3.5.0) Imports: stats, graphics, mvtnorm, sensitivitymv, senstrat, BiasedUrn Suggests: sensitivitymw, sensitivitymult, DOS2, aamatch, nbpMatching, MASS Paul Rosenbaum <rosenbaum@wharton.upenn.edu> Comprehensive R Archive Network (CRAN) Paul Rosenbaum [aut, cre] GPL-2 2026-01-11 application/tgz https://CRAN.R-project.org/package=weightedRank doi:10.32614/CRAN.package.weightedRank