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NMA: Network Meta-Analysis Based on Multivariate Meta-Analysis and Meta-Regression Models

Network meta-analysis tools based on contrast-based approach using the multivariate meta-analysis and meta-regression models (Noma et al. (2025) <doi:10.1101/2025.09.15.25335823>). Comprehensive analysis tools for network meta-analysis and meta-regression (e.g., synthesis analysis, ranking analysis, and creating league table) are available through simple commands. For inconsistency assessment, the local and global inconsistency tests based on the Higgins' design-by-treatment interaction model are available. In addition, the side-splitting methods and Jackson's random inconsistency model can be applied. Standard graphical tools for network meta-analysis, including network plots, ranked forest plots, and transitivity analyses, are also provided. For the synthesis analyses, the Noma-Hamura's improved REML (restricted maximum likelihood)-based methods (Noma et al. (2023) <doi:10.1002/jrsm.1652> <doi:10.1002/jrsm.1651>) are adopted as the default methods.

Version: 2.1-1
Depends: R (≥ 3.5.0)
Imports: stats, grid, MASS, ggplot2, metafor, stringr, forestplot, nleqslv
Published: 2025-09-18
DOI: 10.32614/CRAN.package.NMA
Author: Hisashi Noma ORCID iD [aut, cre], Kazushi Maruo [aut], Shiro Tanaka [aut], Toshi A. Furukawa [aut]
Maintainer: Hisashi Noma <noma at ism.ac.jp>
License: GPL-3
URL: https://doi.org/10.1101/2025.09.15.25335823
NeedsCompilation: no
Materials: NEWS
In views: MetaAnalysis
CRAN checks: NMA results

Documentation:

Reference manual: NMA.html , NMA.pdf

Downloads:

Package source: NMA_2.1-1.tar.gz
Windows binaries: r-devel: NMA_2.1-1.zip, r-release: NMA_2.1-1.zip, r-oldrel: NMA_2.1-1.zip
macOS binaries: r-release (arm64): NMA_2.1-1.tgz, r-oldrel (arm64): NMA_2.1-1.tgz, r-release (x86_64): NMA_2.1-1.tgz, r-oldrel (x86_64): NMA_2.1-1.tgz
Old sources: NMA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NMA 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.
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