BUGSnet

BUGSnet (Bayesian inference Using Gibbs Sampling to conduct NETwork meta-analysis) is a feature-rich R package to conduct Bayesian network meta-analyses in compliance with best practice and reporting guidelines. Bayesian analyses are conducted with JAGS, and BUGS code is automatically generated by the package based on the user’s inputs. Outputs are highly customizable and include network plots, tables of network characteristics, league tables and league heat plots, SUCRA plots, rankograms, forest plots, leverage plots, traceplots, posterior mean deviance comparison plots.

Installation instructions

1. Install JAGS

Go to the Sourceforge page.

Click on Files > JAGS > 4.x

Select your operating system and download JAGS-4.3.0, then install.

2. Install R

Download and install the most recent version of base R from CRAN.

3. Install Rstudio

Download and install the most recent version of RStudio Desktop (free version) from RStudio.

4. Install BUGSnet

In the RStudio console, type

install.packages("remotes")
remotes::install_github("audrey-b/BUGSnet")

Start using BUGSnet

To start using BUGSnet, follow the vignettes available here.

License

BUGSnet is available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). Kindly review the LICENSE file. You are responsible for conforming to the terms of this license. BUGSnet is provided as-is and comes with absolutely no warranty. Commercial use is prohibited; please contact the authors for more information.

How to cite BUGSnet?

Béliveau A., Boyne D., Slater J., Brenner D. and Arora P. (2019). BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses. BMC Medical Research Methodology, 19(196).

Contribution

Please report any issues.