AIC.pvEBayes            Obtain Akaike Information Criterion (AIC) for a
                        pvEBayes object
BIC.pvEBayes            Obtain Bayesian Information Criterion (BIC) for
                        a pvEBayes object
estimate_null_expected_count
                        Estimate expected null baseline count based on
                        reference row and column
extract_all_fitted_models
                        Extract all fitted models from a tuned pvEBayes
                        Object
eyeplot_pvEBayes        Generate an eyeplot showing the distribution of
                        posterior draws for selected drugs and adverse
                        events
gbca2025                FDA GBCA dataset with 1328 adverse events
gbca2025_69             FDA GBCA dataset with 69 adverse events
generate_contin_table   Generate random contingency tables based on a
                        reference table embedded signals,and possibly
                        with zero inflation
heatmap_pvEBayes        Generate a heatmap plot visualizing posterior
                        probabilities for selected drugs and adverse
                        events
logLik.pvEBayes         Extract log marginal likelihood for a pvEBayes
                        object
plot.pvEBayes           Plotting method for a pvEBayes object
posterior_draws         Generate posterior draws for each AE-drug
                        combination
print.pvEBayes          Print method for a pvEBayes object
pvEBayes                Fit a general-gamma, GPS, K-gamma, KM or efron
                        model for a contingency table.
pvEBayes_tune           Select hyperparameter and obtain the optimal
                        general-gamma or efron model based on AIC and
                        BIC
statin2025              FDA statin dataset with 5119 adverse events
statin2025_44           FDA statin dataset with 44 adverse events
statin42                FDA statin dataset with 42 adverse events
summary.pvEBayes        Summary method for a pvEBayes object
