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 (2018) <doi:10.1214/18-AOAS1153>. The package can perform adaptive inference in block designs; see Rosenbaum (2012) <doi:10.1093/biomet/ass032>. The main functions are wgtRank() and wgtRanktt() and ef2C().

Version: 0.2.5
Depends: R (≥ 3.5.0)
Imports: stats, graphics, mvtnorm, sensitivitymv
Suggests: sensitivitymw, sensitivitymult, DOS2
Published: 2023-05-08
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.pdf


Package source: weightedRank_0.2.5.tar.gz
Windows binaries: r-devel: weightedRank_0.2.5.zip, r-release: weightedRank_0.2.5.zip, r-oldrel: weightedRank_0.2.5.zip
macOS binaries: r-release (arm64): weightedRank_0.2.5.tgz, r-oldrel (arm64): weightedRank_0.2.5.tgz, r-release (x86_64): weightedRank_0.2.5.tgz, r-oldrel (x86_64): weightedRank_0.2.5.tgz
Old sources: weightedRank archive


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