Package description, glossary, and included data sets |
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Efficient LOO-CV and WAIC for Bayesian models |
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LOO package glossary |
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Datasets for loo examples and vignettes |
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Approximate LOO-CVApproximate LOO-CV, Pareto smoothed importance sampling (PSIS), and diagnostics. |
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Efficient approximate leave-one-out cross-validation (LOO) |
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Efficient approximate leave-one-out cross-validation (LOO) using subsampling |
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Efficient approximate leave-one-out cross-validation (LOO) for posterior approximations |
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Moment matching for efficient approximate leave-one-out cross-validation (LOO) |
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Compute weighted expectations |
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Pareto smoothed importance sampling (PSIS) |
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Truncated importance sampling (TIS) |
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Standard importance sampling (SIS) |
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Extract importance sampling weights |
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Diagnostics for Pareto smoothed importance sampling (PSIS) |
Model comparison and weighting/averagingFunctions for comparing models and computing model weights via stacking of predictive distributions or pseudo-BMA weighting. |
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Model comparison |
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Model averaging/weighting via stacking or pseudo-BMA weighting |
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Helper functions for K-fold CV |
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Helper functions for K-fold cross-validation |
Generic function for K-fold cross-validation for developers |
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Generic (expected) log-predictive density |
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Other functions |
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Generic (expected) log-predictive density |
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Widely applicable information criterion (WAIC) |
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Extract pointwise log-likelihood from a Stan model |
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Convenience function for computing relative efficiencies |
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Estimate parameters of the Generalized Pareto distribution |
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Objects to use in examples and tests |
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Print methods |
Deprecated functions |
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Model comparison (deprecated, old version) |
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Pareto smoothed importance sampling (deprecated, old version) |