aggregate_experts       Aggregate multiple expert priors into a
                        consensus prior
as_prior                Constructor for bayprior from raw parameters
bayprior                bayprior: Bayesian Prior Elicitation for
                        Clinical Trials
calibrate_power_prior   Calibrate power prior weight via Bayes Factor
conflict_mahalanobis    Multivariate prior-data conflict via
                        Mahalanobis distance
elicit_beta             Elicit a Beta prior via quantile matching or
                        moment matching
elicit_exponential      Elicit an Exponential prior via moments, rate,
                        or quantile matching
elicit_gamma            Elicit a Gamma prior via quantile matching or
                        moment matching
elicit_lognormal        Elicit a Log-Normal prior via quantile matching
                        or moment matching
elicit_mixture          Elicit a mixture prior
elicit_normal           Elicit a Normal prior via quantile matching or
                        moment matching
elicit_roulette         Roulette-method elicitation (chip-allocation)
elicit_weibull          Elicit a Weibull prior via moments, direct
                        parameters, or quantile matching
plot.bayprior_power_prior
                        Plot calibration curve for power prior weight
                        selection
plot_prior_likelihood   Plot prior, likelihood, and posterior density
                        overlays
plot_sensitivity        Plot sensitivity analysis results
plot_tornado            Tornado plot of prior influence on posterior
                        quantities
print.bayprior          Print method for bayprior objects
print.bayprior_conflict
                        Print method for bayprior_conflict objects
print.bayprior_conflict_mv
                        Print method for multivariate conflict objects
print.bayprior_power_prior
                        Print method for bayprior_power_prior objects
prior_conflict          Compute prior-data conflict diagnostics
prior_report            Generate a Prior Justification Report
robust_prior            Construct a robust (heavy-tailed mixture) prior
run_app                 Run the bayprior Shiny Application
sceptical_prior         Construct a sceptical (penalised-enthusiasm)
                        prior
sensitivity_cri         Sensitivity of posterior CrI to prior
                        hyperparameters
sensitivity_grid        Sensitivity grid over prior hyperparameters
summary.bayprior        Summary method for bayprior objects
