apisensr provides an interactive web app for the Rpackageepisensr.The R packageepisensr allows to do basic sensitivityanalysis of epidemiological results as described inApplyingQuantitative Bias Analysis to Epidemiological Data, 2nded. by Matthew P. Fox, Richard F. MacLehose, and Timothy L.Lash (ISBN:978-3-030-82672-7,bias.analysis).Example of usingapisensr is available in Banack, Smithand Bodnar:Application of a Web-based Tool for Quantitative BiasAnalysis: The Example of Misclassification Due to Self-reported BodyMass Index (Epidemiology2024;35(3):359-367).
This package is free and open source software, licensed underGPL-2.
To citeapisensr, please use:
citation("apisensr")#> To cite package 'apisensr' in publications use:#>#> Haine, Denis (2025). The apisensr Shiny app package: interface to#> episensr for sensitivity analysis of epidemiological results. R#> package version 2.0.0. https://codeberg.org/dhaine/apisensr. doi:#> 10.32614/CRAN.package.apisensr.#>#> A BibTeX entry for LaTeX users is#>#> @Misc{,#> title = {The apisensr Shiny app package: interface to episensr for sensitivity analysis of epidemiological results},#> author = {Denis Haine},#> year = {2025},#> note = {R package version 2.0.0},#> doi = {10.32614/CRAN.package.apisensr},#> url = {https://codeberg.org/dhaine/apisensr},#> }You can get the latest release fromCRAN:
install.packages('apisensr')Or install the development version fromCodeberg withremotespackage:
#install.packages("remotes")remotes::install_git("https://codeberg.org/dhaine/apisensr",ref ="develop")library(apisensr)run_app()Please note that the apisensr project is released with a ContributorCode of Conduct. By contributing to this project, you agree to abide byits terms.