doi:10.1177/0272989X12458724>. 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.">

bnma: Bayesian Network Meta-Analysis using 'JAGS' (original) (raw)

Network meta-analyses using Bayesian framework following Dias et al. (2013) <doi:10.1177/0272989X12458724>. 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.

Version: 1.6.1
Depends: R (≥ 2.10)
Imports: rjags (≥ 4-6), graphics, stats, utils, coda (≥ 0.13), ggplot2, grid, igraph
Suggests: knitr, rmarkdown
Published: 2025-07-27
DOI: 10.32614/CRAN.package.bnma
Author: Michael Seo [aut, cre], Christopher Schmid [aut]
Maintainer: Michael Seo
License: GPL-3
NeedsCompilation: no
Citation: bnma citation info
Materials: README, NEWS
In views: MetaAnalysis
CRAN checks: bnma results

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