Description Usage Arguments Value References See Also Examples
The loo
method for varstan objects. Computes approximate
leave-one-out cross-validation using Pareto smoothed importance
sampling (PSIS-LOO CV).
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x |
A varstan object |
... |
additional values need in loo methods |
an object from the loo class with the results of the Pareto-Smooth Importance Sampling, leave one out cross validation for model selection.
Vehtari, A., Gelman, A., & Gabry J. (2016). Practical Bayesian model
evaluation using leave-one-out cross-validation and WAIC. In Statistics
and Computing, doi:10.1007/s11222-016-9696-4
.
Gelman, A., Hwang, J., & Vehtari, A. (2014). Understanding predictive information criteria for Bayesian models. Statistics and Computing. 24, 997-1016.
Watanabe, S. (2010). Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory. The Journal of Machine Learning Research. 11, 3571-3594.
The loo package vignettes for demonstrations.
psis()
for the underlying Pareto Smoothed Importance Sampling (PSIS)
procedure used in the LOO-CV approximation.
pareto-k-diagnostic for convenience functions for looking at diagnostics.
loo_compare()
for model comparison.
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