forecast-package: forecast: Forecasting Functions for Time Series and Linear...

forecast-packageR Documentation

forecast: Forecasting Functions for Time Series and Linear Models



Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.


Maintainer: Rob Hyndman (ORCID) [copyright holder]


  • George Athanasopoulos (ORCID)

  • Christoph Bergmeir (ORCID)

  • Gabriel Caceres (ORCID)

  • Leanne Chhay

  • Kirill Kuroptev

  • Mitchell O'Hara-Wild (ORCID)

  • Fotios Petropoulos (ORCID)

  • Slava Razbash

  • Earo Wang (ORCID)

  • Farah Yasmeen (ORCID)

Other contributors:

  • Daniel Reid [contributor]

  • David Shaub [contributor]

  • Federico Garza [contributor]

  • R Core Team [contributor, copyright holder]

  • Ross Ihaka [contributor, copyright holder]

  • Xiaoqian Wang [contributor]

  • Yuan Tang (ORCID) [contributor]

  • Zhenyu Zhou [contributor]

See Also

Useful links:

forecast documentation built on July 25, 2022, 5:05 p.m.