• 1. Center for Evidence-based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China;
  • 2. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China;
  • 3. Department of Stomatology, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China;
ZENGXian-tao, Email: zengxiantao1128@163.com
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The goal of JAGS (Just Another Gibbs Sampler) software is to remedy the short of BUGS software that unable to running on a system besides Microsoft Windows, such as Unix or Linux. JAGS owns independent computing function and formula of Bayesian theory; it is mischaracterized with simple user interface, good system compatibility, smoother operation, and good interactivity with other programming software. However, due to the limitations of lacking function for results data reading and unscrambling and graph plotting, the popularization and application of JAGS software is restricted. Calling JAGS software from R software through R2jags package, rjags package, or runjags package can overcome these limitations. The operating principle of these three packages is calling JAGS software in the framework of the R software, they have similar functional structure and all have easy maneuverability, concise command, perfect function of data reading and unscrambling and graph drawing; however, there are some differences among them in practice. This article introduces how to performing network meta-analysis by calling JAGS software from R through these three packages.

Citation: ZHANGChao, SUNFeng, ZENGXian-tao. Calling JAGS Software from R Software for Performing Network Meta-Analysis. Chinese Journal of Evidence-Based Medicine, 2014, 14(2): 241-248. doi: 10.7507/1672-2531.20140042 Copy

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