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 |