Title: | Interface to 'episensr' for Sensitivity Analysis of Epidemiological Results |
Version: | 2.0.0 |
Description: | API for using 'episensr', Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. See https://cran.r-project.org/package=episensr. |
License: | GPL-2 |
URL: | https://codeberg.org/dhaine/apisensr |
BugReports: | https://codeberg.org/dhaine/apisensr/issues |
Depends: | episensr (≥ 2.0.0), ggplot2 (≥ 3.5.0), R (≥ 4.3.0) |
Imports: | attempt, config, ggraph, glue, golem, htmltools, igraph, rhandsontable, rmarkdown, shiny, shinyjs, shinymaterial |
Suggests: | knitr, rlang, testthat |
VignetteBuilder: | knitr |
Encoding: | UTF-8 |
RoxygenNote: | 7.3.2 |
NeedsCompilation: | no |
Packaged: | 2025-05-16 15:47:29 UTC; denis |
Author: | Denis Haine |
Maintainer: | Denis Haine <cheval@zaclys.net> |
Repository: | CRAN |
Date/Publication: | 2025-05-16 17:40:02 UTC |
apisensr: Interface to 'episensr' for sensitivity analysis of epidemiological results
Description
API for using 'episensr' which provides basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both.
Author(s)
Maintainer: Denis Haine cheval@zaclys.net (ORCID)
References
'episensr' on R CRAN https://cran.r-project.org/package=episensr and https://dhaine.codeberg.page/episensr/.
Banack et al. Application of a Web-based Tool for Quantitative Bias Analysis: The Example of Misclassification Due to Self-reported Body Mass Index. Epidemiology 2024;35(3):359-367.
See Also
Useful links:
Examples
## Not run:
run_app()
## End(Not run)
Run the Shiny Application
Description
Runs the 'apisensr' Shiny application. This function does not return; interrupt R to stop the application (usually by pressing Ctrl+C or Esc).
Usage
run_app(...)
Arguments
... |
Unused arguments. |
Examples
## Not run:
run_app()
## End(Not run)