The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 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:

Please use the canonical form https://CRAN.R-project.org/package=sensitivitymult to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.