Function reference • loo

All functions
`E_loo()`	Compute weighted expectations
`compare()`	Model comparison
`example_loglik_array()` `example_loglik_matrix()`	Objects to use in examples and tests
`extract_log_lik()`	Extract pointwise log-likelihood from a Stan model
`gpdfit()`	Estimate parameters of the Generalized Pareto distribution
`kfold()` `is.kfold()`	Generic function for K-fold cross-validation for developers
`kfold_split_random()` `kfold_split_stratified()` `kfold_split_grouped()`	Helper functions for K-fold cross-validation
`loo-datasets`	Datasets for loo examples and vignettes
`loo-glossary`	LOO package glossary
`loo-package`	Efficient LOO-CV and WAIC for Bayesian models
`loo`	Efficient approximate leave-one-out cross-validation (LOO)
`loo_compare()` `print(<compare.loo>)`	Model comparison
`loo_model_weights()` `stacking_weights()` `pseudobma_weights()`	Model averaging/weighting via stacking or pseudo-BMA weighting
`pareto_k_table()` `pareto_k_ids()` `pareto_k_values()` `psis_n_eff_values()` `mcse_loo()` `plot(<psis_loo>)` `plot(<psis>)`	Diagnostics for Pareto smoothed importance sampling (PSIS)
`print(<loo>)` `print(<waic>)` `print(<psis_loo>)` `print(<psis>)`	Print methods
`psis()` `weights(<psis>)` `is.psis()`	Pareto smoothed importance sampling (PSIS)
`psislw()`	Pareto smoothed importance sampling (deprecated, old version)
`relative_eff`	Convenience function for computing relative efficiencies
`waic`	Widely applicable information criterion (WAIC)

Reference