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 |
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