Bayesian Prior Elicitation, Diagnostics, and Regulatory Reporting

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Documentation for package ‘bayprior’ version 0.4.0

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

Help Pages

bayprior-package	bayprior: Bayesian Prior Elicitation, Diagnostics, and Regulatory Reporting
aggregate_experts	Aggregate multiple expert priors into a consensus prior
as_prior	Constructor for bayprior from raw parameters
bayprior	bayprior: Bayesian Prior Elicitation, Diagnostics, and Regulatory Reporting
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
historical_effect_sizes	Compute (y, se) inputs for map_prior() from raw historical-trial data
map_prior	Derive a meta-analytic-predictive (MAP) prior from historical trials
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_tau_posterior	Plot the posterior distribution of the heterogeneity parameter (tau)
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
resolve_tau_prior	Resolve the default heterogeneity (tau) prior for an outcome type
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