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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "loo" in publications use:'
type: software
title: 'loo: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models'
version: 2.8.0.9000
identifiers:
- type: doi
  value: 10.32614/CRAN.package.loo
- type: url
  value: https://discourse.mc-stan.org
abstract: 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) <https://doi.org/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.
authors:
- family-names: Vehtari
  given-names: Aki
  email: Aki.Vehtari@aalto.fi
- family-names: Gabry
  given-names: Jonah
  email: jsg2201@columbia.edu
- family-names: Magnusson
  given-names: Måns
- family-names: Yao
  given-names: Yuling
- family-names: Bürkner
  given-names: Paul-Christian
- family-names: Paananen
  given-names: Topi
- family-names: Gelman
  given-names: Andrew
preferred-citation:
  type: generic
  title: 'loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models'
  authors:
  - name: anonymous
  year: '2024'
  notes: R package version 2.8.0.9000
  url: https://mc-stan.org/loo/
repository: https://stan-dev.r-universe.dev
repository-code: https://github.com/stan-dev/loo
commit: 6e7001e35bf74f9829ba9ab0618c1e860c7d7d94
url: https://mc-stan.org/loo/
date-released: '2024-07-03'
contact:
- family-names: Gabry
  given-names: Jonah
  email: jsg2201@columbia.edu
references:
- type: article
  title: Practical Bayesian model evaluation using leave-one-out cross-validation
    and WAIC
  authors:
  - family-names: Vehtari
    given-names: Aki
  - family-names: Gelman
    given-names: Andrew
  - family-names: Gabry
    given-names: Jonah
  year: '2017'
  journal: Statistics and Computing
  volume: '27'
  issue: '5'
  doi: 10.1007/s11222-016-9696-4
  start: '1413'
  end: '1432'
- type: article
  title: Using stacking to average Bayesian predictive distributions
  authors:
  - family-names: Yao
    given-names: Yuling
  - family-names: Vehtari
    given-names: Aki
  - family-names: Simpson
    given-names: Daniel
  - family-names: Gelman
    given-names: Andrew
  year: '2017'
  journal: Bayesian Analysis
  doi: 10.1214/17-BA1091