Provides a collection of functions for conducting metaanalyses under Bayesian context in R. The package includes functions for computing various effect size or outcome measures (e.g. odds ratios, mean difference and incidence rate ratio) for different types of data based on MCMC simulations. Users are allowed to fit fixed and randomeffects models with different priors to the data. Metaregression can be carried out if effects of additional covariates are observed. Furthermore, the package provides functions for creating posterior distribution plots and forest plot to display main model output. Traceplots and some other diagnostic plots are also available for assessing model fit and performance.
Package details 


Author  Tao Ding, Gianluca Baio 
Date of publication  20160108 10:53:20 
Maintainer  Gianluca Baio <gianluca@stats.ucl.ac.uk> 
License  GPL (>= 2) 
Version  0.1.2 
URL  http://www.statistica.it/gianluca/bmeta http://www.statistica.it/gianluca 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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