Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows the bias analysis methods and examples from the book by Lash T.L, Fox M.P, and Fink A.K. "Applying Quantitative Bias Analysis to Epidemiologic Data", 'Springer', 2009.
| Version: | 0.7.1 |
| Depends: | R (≥ 3.2.0) |
| Imports: | triangle, trapezoid, plyr, ggplot2, grid, gridExtra |
| Suggests: | testthat |
| Published: | 2015-10-05 |
| Author: | Denis Haine [aut, cre] |
| Maintainer: | Denis Haine <denis.haine at gmail.com> |
| BugReports: | https://github.com/dhaine/episensr/issues |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | episensr results |
| Reference manual: | episensr.pdf |
| Package source: | episensr_0.7.1.tar.gz |
| Windows binaries: | r-devel: episensr_0.7.1.zip, r-release: episensr_0.7.1.zip, r-oldrel: episensr_0.6.0.zip |
| OS X Snow Leopard binaries: | r-release: episensr_0.7.1.tgz, r-oldrel: episensr_0.6.0.tgz |
| OS X Mavericks binaries: | r-release: episensr_0.7.1.tgz |
| Old sources: | episensr archive |