sensitivitymult: Sensitivity Analysis for Observational Studies with Multiple Outcomes

Sensitivity analysis for multiple outcomes in observational studies. For instance, all linear combinations of several outcomes may be explored using Scheffe projections in the comparison() function; see Rosenbaum (2016, Annals of Applied Statistics) <doi:10.1214/16-AOAS942>. Alternatively, attention may focus on a few principal components in the principal() function. The package includes parallel methods for individual outcomes, including tests in the senm() function and confidence intervals in the senmCI() function.

Version: 1.0.2
Imports: stats
Published: 2017-08-29
DOI: 10.32614/CRAN.package.sensitivitymult
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum at>
License: GPL-2
NeedsCompilation: no
CRAN checks: sensitivitymult results


Reference manual: sensitivitymult.pdf


Package source: sensitivitymult_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sensitivitymult_1.0.2.tgz, r-oldrel (arm64): sensitivitymult_1.0.2.tgz, r-release (x86_64): sensitivitymult_1.0.2.tgz, r-oldrel (x86_64): sensitivitymult_1.0.2.tgz
Old sources: sensitivitymult archive

Reverse dependencies:

Reverse imports: DOS2, evident, informedSen
Reverse suggests: tailTransform, weightedRank


Please use the canonical form to link to this page.