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Sensitivity to unmeasured biases in an observational study that is a full match. Function senfm() performs tests and function senfmCI() creates confidence intervals. The method uses Huber's M-statistics, including least squares, and is described in Rosenbaum (2007, Biometrics) <doi:10.1111/j.1541-0420.2006.00717.x>.
| Version: | 1.5.6 |
| Imports: | stats |
| Published: | 2017-04-04 |
| DOI: | 10.32614/CRAN.package.sensitivityfull |
| Author: | Paul R. Rosenbaum |
| Maintainer: | Paul R. Rosenbaum <rosenbaum at wharton.upenn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | sensitivityfull results |
| Reference manual: | sensitivityfull.pdf |
| Package source: | sensitivityfull_1.5.6.tar.gz |
| Windows binaries: | r-devel: sensitivityfull_1.5.6.zip, r-release: sensitivityfull_1.5.6.zip, r-oldrel: sensitivityfull_1.5.6.zip |
| macOS binaries: | r-release (arm64): sensitivityfull_1.5.6.tgz, r-oldrel (arm64): sensitivityfull_1.5.6.tgz, r-release (x86_64): sensitivityfull_1.5.6.tgz, r-oldrel (x86_64): sensitivityfull_1.5.6.tgz |
| Old sources: | sensitivityfull archive |
| Reverse imports: | submax |
| Reverse suggests: | triplesmatch |
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These binaries (installable software) and packages are in development.
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