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.
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