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().

Version: 0.1.6
Depends: R (≥ 3.5.0)
Imports: stats, graphics, mvtnorm
Suggests: sensitivitymw, sensitivitymult
Published: 2022-07-14
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_0.1.6.tar.gz
Windows binaries: r-devel: weightedRank_0.1.6.zip, r-release: weightedRank_0.1.6.zip, r-oldrel: not available
macOS binaries: r-release (arm64): weightedRank_0.1.6.tgz, r-oldrel (arm64): weightedRank_0.1.6.tgz, r-release (x86_64): weightedRank_0.1.6.tgz, r-oldrel (x86_64): weightedRank_0.1.6.tgz


Please use the canonical form https://CRAN.R-project.org/package=weightedRank to link to this page.