Assess Binary Prior Sensitivity

Refits the approved binary model under prespecified tighter and wider prior scales and compares population-level posterior medians.

Usage

assess_binary_prior_sensitivity(
  fit,
  scale_multipliers = c(tighter = 0.5, wider = 2),
  chains = fit$sampling$chains,
  iter = fit$sampling$iter,
  warmup = fit$sampling$warmup,
  cores = fit$sampling$cores,
  seed = fit$sampling$seed + 1000L,
  adapt_delta = fit$sampling$adapt_delta,
  max_treedepth = fit$sampling$max_treedepth,
  refresh = 0L,
  maximum_standardized_shift = 0.25,
  review_standardized_shift = 0.5,
  retain_fits = FALSE
)

Arguments

fit

A gp3bayes_binary_fit.

scale_multipliers

Named positive numeric multipliers applied to the intercept, coefficient, and group-scale priors.

chains, iter, warmup, cores, seed, adapt_delta, max_treedepth, refresh

Restricted sampling controls passed to fit_binary_model().

maximum_standardized_shift

Maximum absolute posterior-median shift, divided by the reference posterior standard deviation, for a pass.

review_standardized_shift

Maximum standardized shift for review.

retain_fits

Whether alternative fitted objects should be retained.

Value

A gp3bayes_binary_prior_sensitivity object.

Details

This function is computationally expensive. Sensitivity status describes stability under the declared scale changes only; it does not prove prior robustness under all defensible priors.