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NMA  

Network Meta-Analysis Based on Multivariate Meta-Analysis and Meta-Regression Models
View on CRAN: Click here


Download and install NMA package within the R console
Install from CRAN:
install.packages("NMA")

Install from Github:
library("remotes")
install_github("cran/NMA")

Install by package version:
library("remotes")
install_version("NMA", "2.1-2")



Attach the package and use:
library("NMA")
Maintained by
Hisashi Noma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-07
Latest Update: 2024-05-17
Description:
Network meta-analysis tools based on contrast-based approach using the multivariate meta-analysis and meta-regression models (Noma et al. (2023) ). Standard analysis tools for network meta-analysis and meta-regression (e.g., synthesis analysis, ranking analysis, and creating league table) are available by simple commands. For inconsistency analyses, the local and global inconsistency tests based on the Higgins' design-by-treatment interaction model can be applied. Also, the side-splitting and the Jackson's random inconsistency model are available. Standard graphical tools for network meta-analysis (e.g., network plot, ranked forest plot, and transitivity analysis) can also be utilized. For the synthesis analyses, the Noma-Hamura's improved REML (restricted maximum likelihood)-based methods (Noma et al. (2023) ) are adopted as the default methods.
How to cite:
Hisashi Noma (2023). NMA: Network Meta-Analysis Based on Multivariate Meta-Analysis and Meta-Regression Models. R package version 2.1-2, https://cran.r-project.org/web/packages/NMA. Accessed 04 Jul. 2026.
Previous versions and publish date:
1.1-1 (2023-07-07 17:40), 1.2-1 (2023-07-17 10:40), 1.3-1 (2023-08-08 10:10), 1.3-2 (2023-08-30 06:30), 1.4-1 (2023-12-21 09:40), 1.4-2 (2024-02-18 16:10), 1.4-3 (2024-05-17 13:40), 2.1-1 (2025-09-19 01:10), 2.1-2 (2026-01-12 02:20)
Other packages that cited NMA R package
View NMA citation profile
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Complete documentation for NMA
Functions, R codes and Examples using the NMA R package
Full NMA package functions and examples
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