Bayesian Network Meta-Analysis with Missing Participants

A comprehensive suite of functions to perform and visualise pairwise and network meta-analysis with aggregate binary or continuous missing participant outcome data. The package covers core Bayesian one-stage models implemented in a systematic review with multiple interventions, including fixed-effect and random-effects network meta-analysis, meta-regression, evaluation of the consistency assumption via the node-splitting approach and the unrelated mean effects model, and sensitivity analysis. Missing participant outcome data are addressed in all models of the package. The package also offers a rich, user-friendly visualisation toolkit that aids in appraising and interpreting the results thoroughly and preparing the manuscript for journal submission. The visualisation tools comprise the network plot, forest plots, panel of diagnostic plots, heatmaps on the extent of missing participant outcome data in the network, league heatmaps on estimation and prediction, rankograms, Bland-Altman plot, leverage plot, deviance scatterplot, heatmap of robustness, and barplot of Kullback-Leibler divergence. The package also allows the user to export the results to an Excel file at the working directory.


Reference manual

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0.1.0 by Loukia Spineli, 2 months ago

Browse source code at

Authors: Loukia Spineli [aut, cre] , Chrysostomos Kalyvas [ctb] , Katerina Papadimitropoulou [ctb]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports coda, dplyr, fdrtool, gemtc, ggfittext, ggplot2, ggpubr, ggrepel, knitr, MASS, mcmcplots, netmeta, pcnetmeta, R2jags, reshape2, scales, stats, utils, writexl

Suggests rmarkdown, testthat

See at CRAN