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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.