# 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.