The NetMat package is an extension of the BUGSnet package (Béliveau et al. (2019)). As stated in the BUGSnet packages: “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.”
Additionally enrichment-through-weighting methods are included in the package to conduct Bayesian network meta-analyses for targeted and non-targeted studies along the lines of the analyses conducted by Proctor et. al. (2022).
Go to the Sourceforge page.
Click on Files > JAGS > 4.x
Select your operating system and download JAGS-4.3.0, then install.
Download and install the most recent version of base R from CRAN.
Download and install the most recent version of RStudio Desktop (free version) from RStudio.
Download the package from this website.
To start using NetMat, follow the vignettes available
NetMat and BUGSnet are 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. NetMat and BUGSnet are provided as-is and come with absolutely no warranties. Commercial use is prohibited; please contact the authors for more information.
Please report any issues to [email protected] .