sensitivitymv: Sensitivity Analysis in Observational Studies

The package performs a sensitivity analysis in an observational study using an M-statistic, for instance, the mean. The main function in the package is senmv(), but amplify() and truncatedP() are also useful. The method is developed in Rosenbaum Biometrics, 2007, 63, 456-464, <doi:10.1111/j.1541-0420.2006.00717.x>.

Version: 1.4.3
Published: 2018-06-13
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum at wharton.upenn.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: sensitivitymv results

Documentation:

Reference manual: sensitivitymv.pdf

Downloads:

Package source: sensitivitymv_1.4.3.tar.gz
Windows binaries: r-devel: sensitivitymv_1.4.3.zip, r-release: sensitivitymv_1.4.3.zip, r-oldrel: sensitivitymv_1.4.3.zip
macOS binaries: r-release (arm64): sensitivitymv_1.4.3.tgz, r-oldrel (arm64): sensitivitymv_1.4.3.tgz, r-release (x86_64): sensitivitymv_1.4.3.tgz
Old sources: sensitivitymv archive

Reverse dependencies:

Reverse imports: DOS2, evidenceFactors, evident, weightedRank

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