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