Synthesizing Causal Evidence in a Distributed Research Network

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Documentation for package ‘EvidenceSynthesis’ version 0.4.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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