| 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 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 |
| fitBiasDistribution | Fit Bias Distribution |
| ncLikelihoods | Example profile likelihoods for negative control outcomes |
| ooiLikelihoods | Example profile likelihoods for a synthetic outcome of interest |
| 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 function |
| supportsJava8 | Determine if Java virtual machine supports Java |