loo/_pkgdown.yml at master · stan-dev/loo · GitHub

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url: https://mc-stan.org/loo/

destination: "docs/"

template:
  package: pkgdownconfig

development:
  mode: auto

navbar:
  title: "loo"

  structure:
    left: [home, vignettes, functions, news, pkgs, stan]
    right: [search, bluesky, forum, github, lightswitch]

  components:
    pkgs:
      text: Other Packages
      menu:
        - text: bayesplot
          href: https://mc-stan.org/bayesplot
        - text: cmdstanr
          href: https://mc-stan.org/cmdstanr
        - text: posterior
          href: https://mc-stan.org/posterior
        - text: projpred
          href: https://mc-stan.org/projpred
        - text: rstan
          href: https://mc-stan.org/rstan
        - text: rstanarm
          href: https://mc-stan.org/rstanarm
        - text: rstantools
          href: https://mc-stan.org/rstantools
        - text: shinystan
          href: https://mc-stan.org/shinystan

articles:
  - title: Getting started
    desc: |
      These vignettes demonstrate how to use the **loo** package to perform approximate leave-one-out cross-validation or exact K-fold cross-validation for Bayesian models fit using MCMC, compare models on estimated predictive performance on new data, and weight models for averaging predictive distributions.
    contents:
      - loo2-example
      - loo2-weights
      - loo2-with-rstan
      - loo2-elpd
  - title: Additional topics
    desc: |
      These vignettes demonstrate how to use the **loo** package for more complicated scenarios including models with non-factorized likelihoods, forecasting models, models fit to very large datasets, and more.
    contents:
      - loo2-non-factorized
      - loo2-lfo
      - loo2-large-data
      - loo2-moment-matching
      - loo2-mixis
  - title: Frequently asked questions
    contents:
      - faq

external-articles:
  - name: faq
    title: Cross-validation FAQ
    description: Answers to frequently asked questions about cross-validation and the **loo** package (links to external site).
    href: https://users.aalto.fi/~ave/CV-FAQ.html

reference:
  - title: Package description, glossary, and included data sets
    contents:
      - loo-package
      - loo-glossary
      - loo-datasets
  - title: Approximate LOO-CV
    desc: |
      Approximate LOO-CV, Pareto smoothed importance sampling (PSIS), and diagnostics.
    contents:
      - loo
      - loo_subsample
      - loo_approximate_posterior
      - loo_moment_match
      - loo_moment_match_split
      - E_loo
      - psis
      - ap_psis
      - tis
      - sis
      - importance_sampling
      - weights.importance_sampling
      - pareto-k-diagnostic
  - title: Model comparison weighting/averaging
    desc: |
      Functions for comparing models and computing model weights via stacking of predictive distributions or pseudo-BMA weighting.
    contents:
      - loo_compare
      - loo_model_weights
      - stacking_weights
      - pseudobma_weights
  - title: Helper functions for K-fold CV
    contents:
      - kfold_split_random
      - kfold_split_stratified
      - kfold_split_grouped
      - kfold
      - elpd
  - title: Other functions
    contents:
      - loo_predictive_metric
      - crps
      - elpd
      - waic
      - extract_log_lik
      - pointwise
      - relative_eff
      - gpdfit
      - starts_with("example_loglik")
      - print.loo
      - nobs.psis_loo_ss
      - obs_idx
      - update.psis_loo_ss
  - title: Deprecated functions
    contents:
      - compare
      - psislw