Package: NMA 1.4-3

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

Network meta-analysis tools based on contrast-based approach using the multivariate meta-analysis and meta-regression models (Noma et al. (2023) <Forthcoming>). 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) <doi:10.1002/jrsm.1652> <doi:10.1002/jrsm.1651>) are adopted as the default methods.

Authors:Hisashi Noma [aut, cre], Kazushi Maruo [aut], Shiro Tanaka [aut], Toshi A. Furukawa [aut]

NMA_1.4-3.tar.gz
NMA_1.4-3.zip(r-4.5)NMA_1.4-3.zip(r-4.4)NMA_1.4-3.zip(r-4.3)
NMA_1.4-3.tgz(r-4.4-any)NMA_1.4-3.tgz(r-4.3-any)
NMA_1.4-3.tar.gz(r-4.5-noble)NMA_1.4-3.tar.gz(r-4.4-noble)
NMA_1.4-3.tgz(r-4.4-emscripten)NMA_1.4-3.tgz(r-4.3-emscripten)
NMA.pdf |NMA.html
NMA/json (API)
NEWS

# Install 'NMA' in R:
install.packages('NMA', repos = c('https://nomahi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • antidiabetic - Phung et al. (2010)'s network meta-analysis data
  • diabetes - Elliott and Mayer (2007)'s network meta-analysis data
  • heartfailure - Sciarretta et al. (2011)'s network meta-analysis data
  • smoking - Smoking cessation data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

18 exports 0.36 score 39 dependencies 6 scripts 879 downloads

Last updated 4 months agofrom:d8c85b2368. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winOKSep 15 2024
R-4.5-linuxOKSep 15 2024
R-4.4-winOKSep 15 2024
R-4.4-macOKSep 15 2024
R-4.3-winOKSep 15 2024
R-4.3-macOKSep 15 2024

Exports:global.ictlocal.ictnetplotnmanmaforestnmafunnelnmaleaguenmaQnmaranknmaregnmaweightobj.forestpairwiserandom.icmrdcsetupsidesplittransitivity

Dependencies:abindbackportscheckmateclicolorspacefansifarverforestplotggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmetadatmetaformgcvmunsellnlmenumDerivpbapplypillarpkgconfigR6RColorBrewerrlangscalesstringistringrtibbleutf8vctrsviridisLitewithr