NMA: Network Meta-Analysis Based on Multivariate Meta-Analysis and Meta-Regression Models (original) (raw)
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 |
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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 |
Maintainer: | Hisashi Noma |
License: | GPL-3 |
URL: | https://doi.org/10.1101/2025.09.15.25335823 |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | MetaAnalysis |
CRAN checks: | NMA results |
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