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sensitivitymw: Sensitivity Analysis for Observational Studies Using Weighted M-Statistics

Sensitivity analysis for tests, confidence intervals and estimates in matched observational studies with one or more controls using weighted or unweighted Huber-Maritz M-tests (including the permutational t-test). The method is from Rosenbaum (2014) Weighted M-statistics with superior design sensitivity in matched observational studies with multiple controls JASA, 109(507), 1145-1158 <doi:10.1080/01621459.2013.879261>.

Version: 2.1
Depends: R (≥ 3.5.0)
Imports: stats
Published: 2022-01-04
DOI: 10.32614/CRAN.package.sensitivitymw
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum at wharton.upenn.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: sensitivitymw results

Documentation:

Reference manual: sensitivitymw.pdf

Downloads:

Package source: sensitivitymw_2.1.tar.gz
Windows binaries: r-devel: sensitivitymw_2.1.zip, r-release: sensitivitymw_2.1.zip, r-oldrel: sensitivitymw_2.1.zip
macOS binaries: r-release (arm64): sensitivitymw_2.1.tgz, r-oldrel (arm64): sensitivitymw_2.1.tgz, r-release (x86_64): sensitivitymw_2.1.tgz, r-oldrel (x86_64): sensitivitymw_2.1.tgz
Old sources: sensitivitymw archive

Reverse dependencies:

Reverse suggests: senstrat, tailTransform, weightedRank

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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