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) . The package can perform adaptive inference in block designs; see Rosenbaum (2012) . The package can increase design sensitivity using the conditioning tactic in Rosenbaum (2025) . The main functions are wgtRank(), wgtRankCI(), wgtRanktt() and wgtRankC().


Reference manual

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install.packages("weightedRank")

0.7.0 by Paul Rosenbaum, 9 months ago


Browse source code at https://github.com/cran/weightedRank


Authors: Paul Rosenbaum [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Imports stats, graphics, mvtnorm, sensitivitymv, senstrat, BiasedUrn

Suggests sensitivitymw, sensitivitymult, DOS2, aamatch, nbpMatching, MASS


Suggested by aamatch, iTOS, observationalBlocks.


See at CRAN