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

In forecast: Forecasting Functions for Time Series and Linear Models

forecast: Forecasting Functions for Time Series and Linear Models

Description

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 [e-mail] (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:

• Federico Garza [contributor]

• Daniele Girolimetto [contributor]

• Ross Ihaka [contributor, copyright holder]

• R Core Team [contributor, copyright holder]

• Daniel Reid [contributor]

• David Shaub [contributor]

• Yuan Tang (ORCID) [contributor]

• Xiaoqian Wang [contributor]

• Zhenyu Zhou [contributor]

See Also

Useful links:

• https://pkg.robjhyndman.com/forecast/

• https://github.com/robjhyndman/forecast

• Report bugs at https://github.com/robjhyndman/forecast/issues

forecast documentation built on June 22, 2024, 9:20 a.m.