LOO Influence and Predictive Model Comparison

The LOO display layer converts existing gp3bayes_psis_loo, gp3bayes_loo_comparison, and gp3bayes_loo_weights objects into explicit tables and publication-oriented figures.

loo_result <- compute_psis_loo(fit, cores = 1)

loo_summary_table(loo_result)
loo_diagnostic_table(loo_result)
plot_loo_influence(loo_result)

For multiple prespecified models:

comparison <- compare_psis_loo(
  list(reference = fit_reference, sensitivity = fit_sensitivity),
  cores = 1
)

weights <- compute_loo_model_weights(comparison, method = "stacking")

model_comparison_table(comparison)
model_weights_table(weights)

plot_model_comparison(comparison)
plot_model_weights(weights)

ELPD differences and predictive weights are retained as descriptive predictive evidence. The package does not promote the highest-ranked model to an automatically preferred substantive model.