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README.Rmd
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README.Rmd
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---
output:
github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
# apisensr <img src="man/figures/logo.png" align="right" width=120 />
<!-- badges: start -->
[![R-CMD-check](https://github.com/dhaine/apisensr/actions/workflows/check-standard.yaml/badge.svg)](https://github.com/dhaine/apisensr/actions/workflows/check-standard.yaml)
[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/apisensr)](https://cran.r-project.org/package=apisensr)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4592620.svg)](https://doi.org/10.5281/zenodo.4592620)
[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
[![Total CRAN downloads](https://cranlogs.r-pkg.org/badges/grand-total/apisensr)](https://cran.r-project.org/package=apisensr)
<!-- badges: end -->
**apisensr** provides an interactive web app for the R package
[**episensr**](https://cran.r-project.org/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](https://sites.google.com/site/biasanalysis/)).
## License
This package is free and open source software, licensed under GPL-2.
## Citation
To cite **apisensr**, please use:
```{r}
citation("apisensr")
```
## Installation
You can get the latest release from **CRAN**:
```{r, eval=FALSE}
install.packages('apisensr')
```
Or install the development version from **GitHub** with **remotes** package:
```{r, eval=FALSE}
#install.packages("remotes")
remotes::install_github("dhaine/apisensr", ref = "develop")
```
## How to run apisensr
```{r, eval=FALSE}
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.