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 Yao, Kim, Chen, Ibrahim, Shah, and Jianxin Lin (2015) and network meta-regression models using heavy-tailed multivariate random effects with covariate-dependent variances. 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.


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install.packages("metapack")

0.1.1 by Daeyoung Lim, 7 days ago


http://merlot.stat.uconn.edu/packages/metapack/


Report a bug at https://github.com/daeyounglim/metapack/issues


Browse source code at https://github.com/cran/metapack


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


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Rcpp, ggplot2, methods, gridExtra

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo, RcppProgress, BH


See at CRAN