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 
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:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.