bmeta: Bayesian Meta-Analysis and Meta-Regression

#' bmeta: A Bayesian Meta-Analysis Package for R
#' 
#' The bmeta package provides a collection of functions for conducting
#' meta-analyses 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 random-effects
#' models with different priors to the data. Meta-regression 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.
#' 
#' \tabular{ll}{ Package: \tab bmeta\cr Type: \tab Package\cr Version: \tab
#' 0.1.4\cr Date: \tab 2018-02-15\cr License: \tab GPL2 \cr LazyLoad: \tab
#' yes\cr } Bayesian meta-analysis is becoming more frequently accepted as a
#' statistical approach for evidence synthesis from multiple studies in health
#' research. The Bayesian methods differ inherently from frequentist ones by
#' assuming that model parameters are random quantities. Therefore, prior
#' distributions for model parameters can be specified, which are normally
#' based on external evidence. The bmeta function provides 22 models with
#' commonly used priors for fitting different types of data (i.e. binary,
#' continuous and count data).
#' 
#' @name bmeta-package
#' @docType package
#' @author Tao Ding, Gianluca Baio
#' 
#' Maintainer: Gianluca Baio <gianluca@@stats.ucl.ac.uk>
#' @references Alex J Sutton and Keith R Abrams.(2001).Bayesian methods in
#' meta-analysis and evidence synthesis. Statistical Methods in Medical
#' Research,10,277-303.
#' 
#' Welton,N.J., Sutton,A.J., Cooper,N., Abrams,K.R.& Ades,A.E.(2012) Evidence
#' synthesis for decision making in healthcare. Chichester, UK: John Wiley &
#' Sons, Ltd.
#' @keywords Bayesian meta-analysis
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