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Sensitivity analysis for tests, confidence intervals and estimates in matched observational studies with one or more controls using weighted or unweighted Huber-Maritz M-tests (including the permutational t-test). The method is from Rosenbaum (2014) Weighted M-statistics with superior design sensitivity in matched observational studies with multiple controls JASA, 109(507), 1145-1158 <doi:10.1080/01621459.2013.879261>.
| Version: | 2.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats |
| Published: | 2022-01-04 |
| DOI: | 10.32614/CRAN.package.sensitivitymw |
| Author: | Paul R. Rosenbaum |
| Maintainer: | Paul R. Rosenbaum <rosenbaum at wharton.upenn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | sensitivitymw results |
| Reference manual: | sensitivitymw.pdf |
| Package source: | sensitivitymw_2.1.tar.gz |
| Windows binaries: | r-devel: sensitivitymw_2.1.zip, r-release: sensitivitymw_2.1.zip, r-oldrel: sensitivitymw_2.1.zip |
| macOS binaries: | r-release (arm64): sensitivitymw_2.1.tgz, r-oldrel (arm64): sensitivitymw_2.1.tgz, r-release (x86_64): sensitivitymw_2.1.tgz, r-oldrel (x86_64): sensitivitymw_2.1.tgz |
| Old sources: | sensitivitymw archive |
| Reverse suggests: | senstrat, tailTransform, weightedRank |
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These binaries (installable software) and packages are in development.
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