Bayesian Meta-Analysis and Network Meta-Analysis

Contains functions performing Bayesian inference for meta-analytic and network meta-analytic models through Markov chain Monte Carlo algorithm. Currently, the package implements Hui Yao, Sungduk Kim, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin (2015) and Hao Li, Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin (2021) . For maximal computational efficiency, the Markov chain Monte Carlo samplers for each model, written in C++, are fine-tuned. This software has been developed under the auspices of the National Institutes of Health and Merck & Co., Inc., Kenilworth, NJ, USA.


Reference manual

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0.1.5 by Daeyoung Lim, a month ago

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Authors: Daeyoung Lim [aut, cre] , Ming-Hui Chen [ctb] , Sungduk Kim [ctb] , Joseph Ibrahim [ctb] , Arvind Shah [ctb] , Jianxin Lin [ctb]

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL (>= 3) license

Imports Rcpp, ggplot2, methods, gridExtra, Formula

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo, RcppProgress, BH

See at CRAN