Package index • priorsense

Package description

priorsense-package priorsense: priorsense: Prior (and likelihood) diagnostics and sensitivity analysis

Numerical power-scaling sensitivity checks

Numerical sensitivity checks for prior and likelihood

powerscale_sensitivity(): Power-scaling sensitivity analysis
powerscale_derivative(): Derivative with respect to power-scaling

Graphical checks

Plots for power-scaling sensitivity checks

powerscale_plot_dens() powerscale_plot_ecdf() powerscale_plot_quantities() plot(<powerscaled_sequence>): Diagnostic plots for power-scaling sensitivity

Example models

Provides example model code and data for different PPLs compatible with priorsense

example_powerscale_model(): Example models for power-scaling sensitivity

Other functions for exploring sensitivity

powerscale() powerscale_sequence(): Prior/likelihood power-scaling perturbation
powerscale_gradients(): Power-scale gradients
create_priorsense_data(): Create data structure for priorsense

Helper functions

create_priorsense_data(): Create data structure for priorsense
log_lik_draws(): Extract log likelihood draws
log_prior_draws(): Extract log prior draws
predictions_as_draws(): brms predictions as draws
cjs_dist(): Cumulative Jensen-Shannon divergence