README.md

In dhaine/apisensr: Interface to 'episensr' for Sensitivity Analysis of Epidemiological Results

apisensr

apisensr provides an interactive web app for the R package episensr. The R package episensr allows to do basic sensitivity analysis of epidemiological results as described in Applying Quantitative Bias Analysis to Epidemiological Data by Timothy L. Lash, Matthew P. Fox, and Aliza K. Fink (ISBN: 978-0-387-87960-4, bias.analysis).

License

This package is free and open source software, licensed under GPL-2.

Citation

To cite apisensr, please use:

citation("apisensr")
#> To cite package 'apisensr' in publications use:
#> 
#>   Haine, Denis (2023). The apisensr Shiny app package: interface to
#>   episensr for sensitivity analysis of epidemiological results. R
#>   package version 1.0.0. https://github.com/dhaine/apisensr/. doi:
#>   10.5281/zenodo.4592620.
#> 
#> 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 = {2023},
#>     note = {R package version 1.0.0},
#>     doi = {10.5281/zenodo.4592620},
#>     url = {https://github.com/dhaine/apisensr/},
#>   }

Installation

You can get the latest release from CRAN:

install.packages('apisensr')

Or install the development version from GitHub with remotes package:

#install.packages("remotes")
remotes::install_github("dhaine/apisensr", ref = "develop")

How to run apisensr

library(apisensr)
run_app()

Please note that the apisensr project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

dhaine/apisensr documentation built on Sept. 14, 2023, 12:42 a.m.