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
Author:	Paul R. Rosenbaum
Maintainer:	Paul R. Rosenbaum <rosenbaum at wharton.upenn.edu>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	sensitivityfull results

Documentation:

Reference manual:

sensitivityfull.pdf

Downloads:

Package source:	sensitivityfull_1.5.6.tar.gz
Windows binaries:	r-devel: sensitivityfull_1.5.6.zip, r-release: sensitivityfull_1.5.6.zip, r-oldrel: sensitivityfull_1.5.6.zip
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

Linking:

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