priorsense1.0.3 package

Prior Diagnostics and Sensitivity Analysis

cjs_dist

Cumulative Jensen-Shannon divergence

create-priorsense-data

Create data structure for priorsense

example_powerscale_model

Example Stan model for power-scaling

log_lik_draws

Extract log likelihood draws

log_prior_draws

Extract log prior draws

measure_divergence

Calculate specified divergence measures for each posterior

powerscale_derivative

Derivative with respect to power-scaling

powerscale_plots

Diagnostic plots for power-scaling sensitivity

powerscale-gradients

Power-scale gradients

powerscale-overview

Prior/likelihood power-scaling perturbation

powerscale-sensitivity

Power-scaling sensitivity analysis

predictions_as_draws

brms predictions as draws

priorsense-package

priorsense: Prior (and likelihood) diagnostics and sensitivity analysi...

scaled_log_ratio

Calculate importance ratios based on scaling of component

weighted_quantities

Weighted quantities

weighted_summary_measures

Weighted summary measures

Download source packageRead PDF manual

Provides functions for prior and likelihood sensitivity analysis in Bayesian models. Currently it implements methods to determine the sensitivity of the posterior to power-scaling perturbations of the prior and likelihood.