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: | 2.0.0 |
| Depends: | ggplot2 (≥ 3.5.0), 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: | 2025-05-15 |
| 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 |
Documentation:
| Reference manual: | episensr.pdf |
| Vignettes: |
Probabilistic Sensitivity Analysis (source, R code) Multiple Bias Modeling (source, R code) Additional Sensitivity Analyses (source, R code) Quantitative Bias Analysis for Epidemiologic Data (source, R code) |
Downloads:
| Package source: | episensr_2.0.0.tar.gz |
| Windows binaries: | r-devel: episensr_2.0.0.zip, r-release: episensr_2.0.0.zip, r-oldrel: episensr_2.0.0.zip |
| macOS binaries: | r-release (arm64): episensr_2.0.0.tgz, r-oldrel (arm64): episensr_2.0.0.tgz, r-release (x86_64): episensr_2.0.0.tgz, r-oldrel (x86_64): episensr_2.0.0.tgz |
| Old sources: | episensr archive |
Reverse dependencies:
| Reverse depends: | apisensr |
Linking:
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