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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 |
| Reference manual: | sensitivitymult.pdf |
| 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 imports: | DOS2, evident, informedSen |
| Reverse suggests: | tailTransform, weightedRank |
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