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

forecast-packageR Documentation

forecast: Forecasting Functions for Time Series and Linear Models

Description

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

Author(s)

Maintainer: Rob Hyndman Rob.Hyndman@monash.edu (ORCID) [copyright holder]

Authors:

  • 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.