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

Documentation:

Reference manual:

sensitivitymult.pdf

Downloads:

Package source:	sensitivitymult_1.0.2.tar.gz
Windows binaries:	r-devel: sensitivitymult_1.0.2.zip, r-release: sensitivitymult_1.0.2.zip, r-oldrel: sensitivitymult_1.0.2.zip
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

Linking:

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