ap_psis | Pareto smoothed importance sampling (PSIS) using approximate... |
compare | Model comparison (deprecated, old version) |
crps | Continuously ranked probability score |
dot-compute_point_estimate | Compute a point estimate from a draws object |
dot-ndraws | The number of posterior draws in a draws object. |
dot-thin_draws | Thin a draws object |
E_loo | Compute weighted expectations |
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_approximate_posterior | Efficient approximate leave-one-out cross-validation (LOO)... |
loo_compare | Model comparison |
loo-datasets | Datasets for loo examples and vignettes |
loo-glossary | LOO package glossary |
loo_model_weights | Model averaging/weighting via stacking or pseudo-BMA... |
loo_moment_match | Moment matching for efficient approximate leave-one-out... |
loo_moment_match_split | Split moment matching for efficient approximate leave-one-out... |
loo-package | Efficient LOO-CV and WAIC for Bayesian models |
loo_predictive_metric | Estimate leave-one-out predictive performance.. |
loo_subsample | Efficient approximate leave-one-out cross-validation (LOO)... |
nlist | Named lists |
nobs.psis_loo_ss | The number of observations in a 'psis_loo_ss' object. |
obs_idx | Get observation indices used in subsampling |
old-extractors | Extractor methods |
parallel_psis_list | Parallel psis list computations |
pareto-k-diagnostic | Diagnostics for Pareto smoothed importance sampling (PSIS) |
pointwise | Convenience function for extracting pointwise estimates |
print_dims | Print dimensions of log-likelihood or log-weights matrix |
print.loo | Print methods |
psis | Pareto smoothed importance sampling (PSIS) |
psis_approximate_posterior | Diagnostics for Laplace and ADVI approximations and... |
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 |
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