E_loo                   Compute weighted expectations
ap_psis                 Pareto smoothed importance sampling (PSIS)
                        using approximate posteriors
compare                 Model comparison (deprecated, old version)
crps                    Continuously ranked probability score
elpd                    Generic (expected) log-predictive density
example_loglik_array    Objects to use in examples and tests
extract_log_lik         Extract pointwise log-likelihood from a Stan
                        model
find_model_names        Find the model names associated with '"loo"'
                        objects
gpdfit                  Estimate parameters of the Generalized Pareto
                        distribution
importance_sampling     A parent class for different importance
                        sampling methods.
kfold-generic           Generic function for K-fold cross-validation
                        for developers
kfold-helpers           Helper functions for K-fold cross-validation
loo                     Efficient approximate leave-one-out
                        cross-validation (LOO)
loo-datasets            Datasets for loo examples and vignettes
loo-glossary            LOO package glossary
loo-package             Efficient LOO-CV and WAIC for Bayesian models
loo_approximate_posterior
                        Efficient approximate leave-one-out
                        cross-validation (LOO) for posterior
                        approximations
loo_compare             Model comparison
loo_model_weights       Model averaging/weighting via stacking or
                        pseudo-BMA weighting
loo_moment_match        Moment matching for efficient approximate
                        leave-one-out cross-validation (LOO)
loo_moment_match_split
                        Split moment matching for efficient approximate
                        leave-one-out cross-validation (LOO)
loo_predictive_metric   Estimate leave-one-out predictive performance..
loo_subsample           Efficient approximate LOO-CV using subsampling
nobs.psis_loo_ss        The number of observations in a 'psis_loo_ss'
                        object.
obs_idx                 Get observation indices used in subsampling
pareto-k-diagnostic     Diagnostics for Pareto smoothed importance
                        sampling (PSIS)
pointwise               Convenience function for extracting pointwise
                        estimates
print.loo               Print methods
psis                    Pareto smoothed importance sampling (PSIS)
psislw                  Pareto smoothed importance sampling
                        (deprecated, old version)
relative_eff            Convenience function for computing relative
                        efficiencies
sis                     Standard importance sampling (SIS)
tis                     Truncated importance sampling (TIS)
update.psis_loo_ss      Update 'psis_loo_ss' objects
waic                    Widely applicable information criterion (WAIC)
weights.importance_sampling
                        Extract importance sampling weights
