_pkgdown.yml

url: https://fable.tidyverts.org

template:
  params:
    bootswatch: cosmo
  includes:
    in_header: |
      <script defer data-domain="fable.tidyverts.org" src="https://track.mitchelloharawild.com/js/plausible.js"></script>

development:
  mode: auto

authors:
  Rob Hyndman:
    href: http://robjhyndman.com
  Mitchell O'Hara-Wild:
    href: https://mitchelloharawild.com
  Earo Wang:
    href: https://earo.me

navbar:
  type: default
  left:
  - text: Reference
    href: reference/index.html
  - text: Changelog
    href: news/index.html
  - text: Vignettes
    menu:
    - text: Introduction to fable
      href: articles/fable.html
    - text: Forecasting with transformations
      href: articles/transformations.html
  right:
  - text: Feedback
    href: https://docs.google.com/forms/d/e/1FAIpQLSfc66U8e8e-x_7TeWpuBAtxqdJD4UXozdkLgmBI3mlRuKPkzA/viewform?usp=sf_link
  - icon: fa-github fa-lg
    href: https://github.com/tidyverts/fable


reference:
- title: ARIMA
  desc: >
    The ARIMA model and its supported methods.
  contents:
    - ends_with("ARIMA")
    - unitroot_options
- title: ETS
  desc: >
    Exponential smoothing state space models.
  contents:
    - ends_with("ETS")
- title: TSLM
  desc: >
    Time series linear models.
  contents:
    - ends_with("TSLM")
    - breusch_godfrey
- title: Simple forecasting methods
  desc: >
    A collection of simple forecasting methods that are commonly used as benchmarks.
  contents:
    - MEAN
    - ends_with("model_mean")
    - ends_with("RW")
    - NAIVE
    - SNAIVE
- title: Neural network autoregression
  desc: >
    Feed-forward neural networks with a single hidden layer and lagged inputs for forecasting univariate time series.
  contents:
    - ends_with("NNETAR")
- title: Croston's method
  desc: >
    Croston's (1972) method for intermittent demand forecasting
  contents:
    - CROSTON
    - ends_with("croston")
- title: Theta method
  desc: >
    The Theta method of Assimakopoulos and Nikolopoulos (2000)
  contents:
    - THETA
    - ends_with("fable_theta")
- title: Autoregression
  desc: >
    Autoregressive time series models
  contents:
    - ends_with("AR")
- title: Vector autoregression
  desc: >
    Estimates a VAR(p) model with support for exogenous regressors.
  contents:
    - ends_with("VAR")
- title: Vector autoregression integrated moving average
  desc: >
    Estimates a VARIMA(p,d,q) model
  contents:
    - ends_with("VARIMA")
- title: Vector error correction models
  desc: >
    Estimates a VECM(p, r) model with support for exogenous regressors.
  contents:
    - ends_with("VECM")