README.Rmd

---
output: github_document
---

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# mapMCDA <img src="man/figures/logo.png" align="right" />

```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-"
)
```
  

![](man/figures/mapMCDA_overview.png)

`mapMCDA` helps producing __risk maps__ by weighting __risk factors__ using
__expert knowledge__.

The typical use case is the lack of (reliable) data about the
epidemics of a disease, but available information about well known
__risk factors__ (e.g. animal density, proximity to border, proximity
to water courses, etc.). 

In order to design a __stratified sampling__ or a __surveillance
campaign__, a preliminar risk map based on expert judgement is
required.

This package (and method) provides a systematic and guided approach
to build such maps.

![](man/figures/plot-risk-unit-1.png)


The package include a Graphical User Interface (Shiny) that helps
in processing and weighting risk factors.

```{r eval = FALSE}
library(mapMCDA)
mapMCDA_app()
```

![](man/figures/interface.png)


## Installing the package

`mapMCDA` is on its way to CRAN. In the meanwhile, install from 
GitLab as follows.

<!-- To install the current stable, CRAN version of the package, type: -->
<!-- ```{r install, eval = FALSE} -->
<!-- install.packages("mapMCDA") -->
<!-- ``` -->

<!-- To benefit from the latest features and bug fixes, install the development, version of the package using: -->
```{r install-gitlab, eval = FALSE}
if (!require("remotes")) {
  install.packages("remotes")
}
remotes::install_gitlab("umr-astre/mapMCDA", host = "forgemia.inra.fr")
```



<!-- # Resources -->

<!-- ## Vignettes -->

<!-- An overview and examples of *mapMCDA* are provided in the vignettes: -->

<!-- ... -->

<!-- ## Websites -->

<!-- The following websites are available: -->

<!-- ... -->

## Getting help online

Bug reports and feature requests should be posted on *GitLab* using
the [*issue*](http://forgemia.inra.fr/umr-astre/mapMCDA/issues) system.

For support, reach out in the 
[mapMCDA mailing list](https://listes.cirad.fr/sympa/info/mapmcda).
Archives are of public access.

Contributions are welcome via **pull requests**.

Please note that this project is released with a [Contributor Code of
Conduct](CONDUCT.md). By participating in this project you agree to
abide by its terms.