sensitivityfull: Sensitivity Analysis for Full Matching in Observational Studies

Sensitivity to unmeasured biases in an observational study that is a full match. Function senfm() performs tests and function senfmCI() creates confidence intervals. The method uses Huber's M-statistics, including least squares, and is described in Rosenbaum (2007, Biometrics) <doi:10.1111/j.1541-0420.2006.00717.x>.

Version: 1.5.6
Imports: stats
Published: 2017-04-04
DOI: 10.32614/CRAN.package.sensitivityfull
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum at>
License: GPL-2
NeedsCompilation: no
CRAN checks: sensitivityfull results


Reference manual: sensitivityfull.pdf


Package source: sensitivityfull_1.5.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sensitivityfull_1.5.6.tgz, r-oldrel (arm64): sensitivityfull_1.5.6.tgz, r-release (x86_64): sensitivityfull_1.5.6.tgz, r-oldrel (x86_64): sensitivityfull_1.5.6.tgz
Old sources: sensitivityfull archive

Reverse dependencies:

Reverse imports: submax
Reverse suggests: triplesmatch


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