README.md

In Amandinevidal/Projet: Bayesian Shiny Visualisation

VisuBayes: Parameters posterior check

This repository contains the data and code for a great shinyapp to visualise chain mixing after Bayesian GLMM analysis.

How to cite

Please cite this compendium as:

Emmanuelle Cam, Bastien Mourguiart and Amandine Vidal, (2021). Compendium of R code and data for VisuBayes: Parameters posterior check. Accessed 03 déc. 2021. Online at https://doi.org/xxx/xxx

Contents

The analyses directory contains:

• :file_folder: simu data: Simulate data for 3 species.
• :file_folder: simu data bis: Simulate data for 4 species.
• :file_folder: model: Model simulated data with 3 species.
• :file_folder: modelbis: Model simulated data with 4 species.
• :file_folder: shiny: Fabulous shiny application.

How to run in your browser or download and run locally

This research compendium has been developed using the statistical programming language R. To work with the compendium, you will need installed on your computer the R software itself and optionally RStudio Desktop.

You can download the compendium as a zip from from this URL: master.zip. After unzipping: - open the .Rproj file in RStudio - run devtools::install() to ensure you have the packages this analysis depends on (also listed in the DESCRIPTION file). - finally, open analyses/shiny.R and source it to view the shinyapp.

Licenses

Text and figures : CC-BY-4.0

Code : See the DESCRIPTION file

Data : CC-0 attribution requested in reuse

Contributions

We welcome contributions from everyone. Before you get started, please see our contributor guidelines. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

Amandinevidal/Projet documentation built on Dec. 17, 2021, 8:45 a.m.