Check Binary Posterior Predictive Behaviour — check_binary_posterior

Compares observed binary summaries with replicated outcomes from the fitted posterior predictive distribution.

Usage

check_binary_posterior_predictive(
  fit,
  draws = 500,
  seed = 1,
  pass_probability = 0.8,
  review_probability = 0.95
)

Arguments

fit: A gp3bayes_binary_fit.
draws: Number of posterior predictive replications.
seed: Non-negative integer seed used to select predictive draws.
pass_probability: Central predictive interval used for a pass.
review_probability: Wider central predictive interval used for review.

Value

A gp3bayes_binary_posterior_predictive_check.

Details

The check evaluates prespecified descriptive summaries. It does not prove that the likelihood, link, random-effects structure, or substantive model is adequate.