Moved to BS5 and used Stan theme

Author: VisruthSK

DESCRIPTION

@@ -55,3 +55,4 @@ Encoding: UTF-8
 SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc
 RoxygenNote: 7.3.2
 Roxygen: list(markdown = TRUE)
+Config/Needs/website: VisruthSK/pkgdownConfig

_pkgdown.yml

@@ -1,137 +1,129 @@
 url: https://mc-stan.org/loo/
 destination: docs
 template:
-  params:
-    bootswatch: cosmo
+  package: pkgdownConfig
 development:
   mode: auto
+
 navbar:
-  title: loo
-  left:
-  - icon: fa-home fa-lg
-    aria-label: Return to homepage
-    href: index.html
-  - text: Vignettes
-    href: articles/index.html
-  - text: Functions
-    href: reference/index.html
-  - text: News
-    href: news/index.html
-  - text: Other Packages
-    menu:
-    - text: rstan
-      href: https://mc-stan.org/rstan
-    - text: cmdstanr
-      href: https://mc-stan.org/cmdstanr
-    - text: rstanarm
-      href: https://mc-stan.org/rstanarm
-    - text: bayesplot
-      href: https://mc-stan.org/bayesplot
-    - text: shinystan
-      href: https://mc-stan.org/shinystan
-    - text: projpred
-      href: https://mc-stan.org/projpred
-    - text: rstantools
-      href: https://mc-stan.org/rstantools
-    - text: posterior
-      href: https://mc-stan.org/posterior
-  - text: Stan
-    href: https://mc-stan.org
-  right:
-  - icon: fa-twitter
-    aria-label: Visit our Twitter profile
-    href: https://twitter.com/mcmc_stan
-  - icon: fa-github
-    aria-label: View our code on GitHub
-    href: https://github.com/stan-dev/loo
-  - icon: fa-users
-    aria-label: Visit our forums
-    href: https://discourse.mc-stan.org/
-home:
-  links:
-  - text: Ask a question
-    href: https://discourse.mc-stan.org/
+  title: "loo"
+
+  structure:
+    left: [home, vignettes, functions, pkgs, news, stan]
+    right: [search, bluesky, twitter, forum, github, lightswitch]
+
+  components:
+    home:
+      icon: fa-home fa-lg
+      href: index.html
+    vignettes:
+      text: Vignettes
+      href: articles/index.html
+    functions:
+      text: Functions
+      href: reference/index.html
+    pkgs:
+      text: Other Packages
+      menu:
+        - text: rstan
+          href: https://mc-stan.org/rstan
+        - text: cmdstanr
+          href: https://mc-stan.org/cmdstanr
+        - text: rstanarm
+          href: https://mc-stan.org/rstanarm
+        - text: bayesplot
+          href: https://mc-stan.org/bayesplot
+        - text: shinystan
+          href: https://mc-stan.org/shinystan
+        - text: projpred
+          href: https://mc-stan.org/projpred
+        - text: rstantools
+          href: https://mc-stan.org/rstantools
+        - text: posterior
+          href: https://mc-stan.org/posterior
+
 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
+  - 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
+  - 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