old-extractors

[.loo

[[.loo

$.loo

These are only defined in order to deprecate with a warning (rather than
remove and break backwards compatibility) the old way of accessing the point
estimates in a <code>"psis_loo"</code> or <code>"psis"</code> object. The new way as of
v2.0.0 is to get them from the <code>"estimates"</code> component of the object.

internal

Efficient approximate leave-one-out cross-validation (LOO)
for Bayesian models fit using Markov chain Monte Carlo, as
described in Vehtari, Gelman, and Gabry (2017)
<doi:10.1007/s11222-016-9696-4>.
The approximation uses Pareto smoothed importance sampling (PSIS),
a new procedure for regularizing importance weights.
As a byproduct of the calculations, we also obtain approximate
standard errors for estimated predictive errors and for the comparison
of predictive errors between models. The package also provides methods
for using stacking and other model weighting techniques to average
Bayesian predictive distributions.

Jonah Gabry

Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian
Models

Aki Vehtari

Mans Magnusson

Yuling Yao

Paul-Christian Bürkner

Topi Paananen

Andrew Gelman

Ben Goodrich

Juho Piironen

Bruno Nicenboim

Leevi Lindgren

old-extractors function

<dl><dt>x, i, exact, name</dt>
<dd>See <a href="/link/Extract?package=loo&version=2.6.0" data-mini-rdoc="loo::Extract">Extract</a>.</dd></dl>

Arguments

Extractor methods — old-extractors

<dl>

<dt>x, i, exact, name</dt>
<dd>See <a href='https://rdrr.io/r/base/Extract.html'>Extract</a>.</dd>

</dl>

Extractor methods

old-extractors: Extractor methods

Description

Usage

Arguments