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Package: mapMCDA
Title: Produce an epidemiological risk map by weighting multiple risk
factors
Version: 0.4.39
Date: 2020-04-19
Version: 0.4.40
Date: 2020-04-22
Authors@R: c( person("Andrea", "Apolloni", email =
"andrea.apolloni@cirad.fr", role = c("ctb"), comment = "Animal
mobility algorithm"), person("Elena", "Arsevska", email =
......
......@@ -3,7 +3,9 @@ output: github_document
---
[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/mapMCDA)](https://cran.r-project.org/package=mapMCDA)
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# mapMCDA <img src="man/figures/logo.png" align="right" />
......
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Status](https://travis-ci.org/Cirad-ASTRE/mapMCDA.svg?branch=master)](https://travis-ci.org/Cirad-ASTRE/mapMCDA)
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# mapMCDA <img src="man/figures/logo.png" align="right" />
[![Build status](https://forgemia.inra.fr/umr-astre/mapMCDA/badges/master/pipeline.svg)](https://forgemia.inra.fr/umr-astre/mapMCDA/pipelines)
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mapMCDA <img src="man/figures/logo.png" align="right" />
========================================================
![](man/figures/mapMCDA_overview.png)
`mapMCDA` helps producing **risk maps** by weighting **risk factors**
using **expert knowledge**.
`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.).
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.
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.
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.
The package include a Graphical User Interface (Shiny) that helps in processing and weighting risk factors.
``` r
library(mapMCDA)
......@@ -35,22 +29,16 @@ mapMCDA_app()
![](man/figures/interface.png)
## Installing the package
Installing the package
----------------------
`mapMCDA` is on its way to CRAN. In the meanwhile, install from GitLab
as
follows.
`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
if (!require("remotes")) {
install.packages("remotes")
......@@ -59,30 +47,19 @@ 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
-------------------
## 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.
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.
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.
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.
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