episensr: Basic Sensitivity Analysis of Epidemiological Results
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 Fox M.P., MacLehose R.F., and Lash T.L. "Applying Quantitative Bias Analysis to Epidemiologic Data, second ed.", ('Springer', 2021).
| Version: | 2.1.0 |
| Depends: | ggplot2 (≥ 4.0.0), R (≥ 4.3.0) |
| Imports: | actuar,boot,cli,dagitty,forcats,ggdag,magrittr,trapezoid,triangle,truncnorm,MASS,lifecycle |
| Suggests: | aplore3,covr,directlabels,knitr,lattice,rmarkdown,testthat,tidyr |
| Published: | 2025-11-04 |
| DOI: | 10.32614/CRAN.package.episensr |
| Author: | Denis Haine [aut, cre] |
| Maintainer: | Denis Haine <cheval at zaclys.net> |
| BugReports: | https://codeberg.org/dhaine/episensr/issues |
| License: | GPL-2 |
| URL: | https://codeberg.org/dhaine/episensr,https://dhaine.codeberg.page/episensr/ |
| NeedsCompilation: | no |
| Citation: | episensr citation info |
| Materials: | README,NEWS |
| In views: | Epidemiology |
| CRAN checks: | episensr results |
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