_pkgdown.yml

url: https://corymccartan.github.io/adjustr/

destination: docs

development:
  mode: auto

template:
  params:
    bootswatch: cosmo
    ganalytics: UA-79274202-5

navbar:
  title: "adjustr"
  left:
    - text: "Get Started"
      href: articles/adjustr.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: "loo"
          href: https://mc-stan.org/loo
        - text: "projpred"
          href: https://mc-stan.org/projpred
        - text: "rstantools"
          href: https://mc-stan.org/rstantools
    - text: "Stan"
      href: https://mc-stan.org
  right:
   - icon: fa-twitter
     href: https://twitter.com/mcmc_stan
   - icon: fa-github
     href: https://github.com/CoryMcCartan/adjustr/
   - icon: fa-users
     href: https://discourse.mc-stan.org/

home:
  title: "adjustr: Stan Model Adjustments and Sensitivity Analyses using Importance Sampling"
  description: >
    An R package which provides functions to help assess the sensitivity of a
    Bayesian model to the specification of its likelihood and priors. Users
    provide a series of alternate sampling specifications, and the package uses
    Pareto-smoothed importance sampling to estimate posterior quantities of
    interest under each specification. The package also provides functions to
    summarize and plot how these quantities change across specifications.
  links:
  - text: Ask a question
    href: https://discourse.mc-stan.org/

authors:
  Cory McCartan:
    href: "https://corymccartan.github.io/"

reference:
  - title: "Model Adjustments"
    desc: Core functions for sensitivity anlysis workflow.
    contents:
      - make_spec
      - adjust_weights
      - summarize.adjustr_weighted
      - spec_plot
  - title: "Helper Functions"
    desc: >
      Various helper functions for examining a model or building sampling
      specifications.
    contents:
      - extract_samp_stmts
      - as.data.frame.adjustr_spec
      - dplyr.adjustr_spec
      - get_resampling_idxs
      - pull.adjustr_weighted
      - adjustr-package