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| loo-package | Efficient LOO and WAIC for Bayesian models |
| compare | Model comparison |
| extract_log_lik | Extract pointwise log-likelihood matrix from a Stan model |
| E_loo | Compute weighted expectations |
| E_loo.default | Compute weighted expectations |
| E_loo.matrix | Compute weighted expectations |
| loo | Leave-one-out cross-validation (LOO) |
| loo.function | Leave-one-out cross-validation (LOO) |
| loo.matrix | Leave-one-out cross-validation (LOO) |
| pareto-k-diagnostic | Diagnostics for Pareto Smoothed Importance Sampling |
| pareto_k_ids | Diagnostics for Pareto Smoothed Importance Sampling |
| pareto_k_table | Diagnostics for Pareto Smoothed Importance Sampling |
| plot.loo | Diagnostics for Pareto Smoothed Importance Sampling |
| print.loo | Print method for 'loo' objects |
| psislw | Pareto smoothed importance sampling (PSIS) |
| waic | Widely applicable information criterion (WAIC) |
| waic.function | Widely applicable information criterion (WAIC) |
| waic.matrix | Widely applicable information criterion (WAIC) |