# Bayesian Prior Elicitation and Diagnostics for Clinical Trials

## Documentation for package ‘bayprior’ version 0.3.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bayprior-package | bayprior: Bayesian Prior Elicitation for Clinical Trials
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 | Credible interval sensitivity over prior hyperparameters
sensitivity_grid | Sensitivity grid over prior hyperparameters
summary.bayprior | Summary method for bayprior objects