Package: NMA 3.1-1

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.

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

NMA_3.1-1.tar.gz
NMA_3.1-1.zip(r-4.7)NMA_3.1-1.zip(r-4.6)NMA_3.1-1.zip(r-4.5)
NMA_3.1-1.tgz(r-4.6-any)NMA_3.1-1.tgz(r-4.5-any)
NMA_3.1-1.tar.gz(r-4.7-any)NMA_3.1-1.tar.gz(r-4.6-any)
NMA_3.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
NMA/json (API)

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

Bug tracker:https://github.com/nomahi/nma/issues

Datasets:
  • antidiabetic - Phung et al. (2010)'s network meta-analysis data
  • diabetes - Elliott and Mayer (2007)'s network meta-analysis data
  • exdataMD - Example data of summary statistics from Phung et al. (2010)'s network meta-analysis data
  • exdataP - Example data of arm-specific survival probability estimates for a network meta-analysis
  • exdataRR - Example data of summary statistics from Sciarretta et al. (2011)'s network meta-analysis data
  • heartfailure - Sciarretta et al. (2011)'s network meta-analysis data
  • smoking - Smoking cessation data
  • woods1 - Network meta-analysis dataset of COPD: Hazard ratio statistics
  • woods2 - Network meta-analysis dataset of COPD: Dichotomized data

On CRAN:

Conda:

1.48 score 1 stars 7 scripts 220 downloads 20 exports 35 dependencies

Last updated from:3e8b3ac6b4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK166
source / vignettesOK171
linux-release-x86_64OK179
macos-release-arm64OK99
macos-oldrel-arm64OK104
windows-develOK139
windows-releaseOK135
windows-oldrelOK128
wasm-releaseOK137

Exports:global.ictlocal.ictnetplotnmanmaforestnmafunnelnmaleaguenmaQnmaranknmaregnmaweightobj.forestrandom.icmrdcsetupsidesplitSumPMAtrans.armdatatrans.armdataPtransitivity

Dependencies:abindbackportscheckmateclicpp11digestfarverforestplotggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmetadatmetafornleqslvnlmenumDerivpbapplyR6RColorBrewerrlangS7scalesstringistringrvctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
The 'NMA' package.NMA-package
Phung et al. (2010)'s network meta-analysis dataantidiabetic
Elliott and Mayer (2007)'s network meta-analysis datadiabetes
Example data of summary statistics from Phung et al. (2010)'s network meta-analysis dataexdataMD
Example data of arm-specific survival probability estimates for a network meta-analysisexdataP
Example data of summary statistics from Sciarretta et al. (2011)'s network meta-analysis dataexdataRR
Higgins' global inconsistency testglobal.ict
Sciarretta et al. (2011)'s network meta-analysis dataheartfailure
Local inconsistency tests for all closed loops on the networklocal.ict
Generating a networkplotnetplot
Network meta-analysis based on contrast-based approach using the multivariate meta-analysis modelnma
Generating a ranked forest plot for the synthesis results of network meta-analysisnmaforest
Comparison-adjusted funnel plotnmafunnel
Generating a league tablenmaleague
Multivariate Q-statistic and its factorizationnmaQ
Calculating ranking statistics of network meta-analysisnmarank
Network meta-regression based on contrast-based approachnmareg
Evaluating study weights and contribution matrixnmaweight
Numerical objects of ranked forest plot for the synthesis results of network meta-analysisobj.forest
Jackson's random inconsistency modelrandom.icm
Rounding a numerical valuerdc
Transforming arm-level data to contrast-based summary statistics and making objects for network meta-analysissetup
Sidesplitting for quantifying direct and indirect evidence for all possible treatment pairs and the inconsistency testsidesplit
Smoking cessation datasmoking
Pairwise meta-analyses for all treatment pairs with direct comparisons on the networkSumPMA
Transforming contrast-based summary statistics to arm-based datatrans.armdata
Transforming arm-specific incidence proportion or survival probability data to arm-level datatrans.armdataP
Checking transitivitytransitivity
Network meta-analysis dataset of COPD: Hazard ratio statisticswoods1
Network meta-analysis dataset of COPD: Dichotomized datawoods2