--- output: github_document --- <!-- badges: start --> [](https://www.repostatus.org/#active) [](https://cran.r-project.org/package=mapMCDA) [](https://cirad-astre.r-universe.dev) [](https://cirad-astre.r-universe.dev/mapMCDA) [](https://forgemia.inra.fr/umr-astre/mapMCDA/pipelines) [](https://ci.appveyor.com/project/famuvie/mapmcda) <!-- badges: end --> # mapMCDA <img src="man/figures/logo.png" align="right" /> ```{r, echo = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-" ) ```  `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 preliminary risk map based on expert judgement is required. This package (and method) provides a systematic and guided approach to build such maps.  The package include a Graphical User Interface (Shiny) that helps in processing and weighting risk factors. ```{r eval = FALSE} library(mapMCDA) mapMCDA_app() ```  ## Installing the package `mapMCDA` is on its way to CRAN. In the meanwhile, install from our r-universe 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") ``` --> ```{r install-r-universe, eval = FALSE} # Install mapMCDA in R: install.packages('mapMCDA', repos = c('https://cirad-astre.r-universe.dev', 'https://cloud.r-project.org')) ``` <!-- # 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.