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bnma: Bayesian Network Meta-Analysis using 'JAGS'

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: 1.6.0
Depends: R (≥ 2.10)
Imports: rjags (≥ 4-6), graphics, stats, utils, coda (≥ 0.13), ggplot2, grid, igraph
Suggests: knitr, rmarkdown
Published: 2024-02-11
DOI: 10.32614/CRAN.package.bnma
Author: Michael Seo [aut, cre], Christopher Schmid [aut]
Maintainer: Michael Seo <swj8874 at gmail.com>
License: GPL-3
NeedsCompilation: no
Citation: bnma citation info
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: bnma results

Documentation:

Reference manual: bnma.pdf
Vignettes: Bayesian network meta-analysis

Downloads:

Package source: bnma_1.6.0.tar.gz
Windows binaries: r-devel: bnma_1.6.0.zip, r-release: bnma_1.6.0.zip, r-oldrel: bnma_1.6.0.zip
macOS binaries: r-release (arm64): bnma_1.6.0.tgz, r-oldrel (arm64): bnma_1.6.0.tgz, r-release (x86_64): bnma_1.6.0.tgz, r-oldrel (x86_64): bnma_1.6.0.tgz
Old sources: bnma archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bnma to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.