approximateHierarchicalNormalPosterior | Approximate Bayesian posterior for hierarchical Normal model |
approximateLikelihood | Approximate a likelihood function |
approximateSimplePosterior | Approximate simple Bayesian posterior |
biasCorrectionInference | Bias Correction with Inference |
computeBayesianMetaAnalysis | Compute a Bayesian random-effects meta-analysis |
computeConfidenceInterval | Compute the point estimate and confidence interval given a... |
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... |
EvidenceSynthesis-package | EvidenceSynthesis: Synthesizing Causal Evidence in a... |
fitBiasDistribution | Fit Bias Distribution |
ncLikelihoods | Example profile likelihoods for negative control outcomes |
ooiLikelihoods | Example profile likelihoods for a synthetic outcome of... |
plotBiasCorrectionInference | Plot bias correction inference |
plotBiasDistribution | Plot bias distributions |
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 |
sequentialFitBiasDistribution | Fit Bias Distribution Sequentially or in Groups |
simulatePopulations | Simulate survival data for multiple databases |
skewNormal | The skew normal function to approximate a log likelihood... |
supportsJava8 | Determine if Java virtual machine supports Java |
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