Bayesian Network Meta-Analysis using 'JAGS'

Network meta-analyses using Bayesian framework following Dias et al. (2013) . Based on the data input, creates prior, model file, and initial values needed to run models in 'rjags'. Able to handle binomial, normal and multinomial arm-level data. Can handle multi-arm trials and includes methods to incorporate covariate and baseline risk effects. Includes standard diagnostics and visualization tools to evaluate the results.


Reference manual

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1.4.0 by Michael Seo, 9 months ago

Browse source code at

Authors: Michael Seo [aut, cre] , Christopher Schmid [aut]

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL-3 license

Imports rjags, graphics, stats, utils, coda, ggplot2, grid, igraph

Suggests knitr, rmarkdown

See at CRAN