Network Meta-Analysis Based on Multivariate Meta-Analysis and Meta-Regression Models
Higgins' global inconsistency test
Local inconsistency tests for all closed loops on the network
Generating a networkplot
The 'NMA' package.
Network meta-analysis based on contrast-based approach using the multi...
Generating a ranked forest plot for the synthesis results of network m...
Comparison-adjusted funnel plot
Generating a league table
Multivariate Q-statistic and its factorization
Calculating ranking statistics of network meta-analysis
Network meta-regression based on contrast-based approach
Evaluating study weights and contribution matrix
Numerical objects of ranked forest plot for the synthesis results of n...
Pairwise meta-analyses for all treatment pairs with direct comparisons...
Jackson's random inconsistency model
Rounding a numerical value
Transforming arm-level data to contrast-based summary statistics and m...
Sidesplitting for quantifying direct and indirect evidence for all pos...
Transforming contrast-based summary statistics to arm-based data
Transforming arm-specific incidence proportion or survival probability...
Checking transitivity
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.