find_model_names

<p>Find the model names associated with loo objects</p>

internal

Efficient approximate leave-one-out cross-validation (LOO)
for Bayesian models fit using Markov chain Monte Carlo. 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

Andrew Gelman

Yuling Yao

Paul-Christian B<c3><bc>rkner

Ben Goodrich

Juho Piironen

Mans Magnusson

find_model_names function

Find the model names associated with loo objects — find_model_names

Find the model names associated with loo objects

find_model_names: Find the model names associated with loo objects

Description

Usage

Arguments

Value