approximateHierarchicalNormalPosterior
                        Approximate Bayesian posterior for hierarchical
                        Normal model
approximateLikelihood   Approximate a likelihood function
approximateSimplePosterior
                        Approximate simple Bayesian posterior
computeBayesianMetaAnalysis
                        Compute a Bayesian random-effects meta-analysis
computeConfidenceInterval
                        Compute the point estimate and confidence
                        interval given a likelihood function
                        approximation
computeFixedEffectMetaAnalysis
                        Compute a fixed-effect meta-analysis
createSimulationSettings
                        Create simulation settings
customFunction          A custom function to approximate a log
                        likelihood function
detectApproximationType
                        Detect the type of likelihood approximation
                        based on the data format
plotCovariateBalances   Plot covariate balances
plotEmpiricalNulls      Plot empirical null distributions
plotLikelihoodFit       Plot the likelihood approximation
plotMcmcTrace           Plot MCMC trace
plotMetaAnalysisForest
                        Create a forest plot
plotPerDbMcmcTrace      Plot MCMC trace for individual databases
plotPerDbPosterior      Plot posterior density per database
plotPosterior           Plot posterior density
plotPreparedPs          Plot the propensity score distribution
preparePsPlot           Prepare to plot the propensity score
                        distribution
simulatePopulations     Simulate survival data for multiple databases
skewNormal              The skew normal function to approximate a log
                        likelihood function
supportsJava8           Determine if Java virtual machine supports Java
