The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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).
This package is free and open source software, licensed under GPL-2.
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/},
#> }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")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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.