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.

Package overview README.md Automatic Time Series Forecasting: the forecast Package for R (Hyndman & Khandakar, JSS 2008)

Vignettes Man pages API and functions Files

Package details
Author	Rob Hyndman [aut, cre, cph] (<https://orcid.org/0000-0002-2140-5352>), George Athanasopoulos [aut], Christoph Bergmeir [aut] (<https://orcid.org/0000-0002-3665-9021>), Gabriel Caceres [aut], Leanne Chhay [aut], Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Fotios Petropoulos [aut] (<https://orcid.org/0000-0003-3039-4955>), Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut] (<https://orcid.org/0000-0002-1479-5401>), R Core Team [ctb, cph], Ross Ihaka [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb] (<https://orcid.org/0000-0001-5243-233X>), Zhenyu Zhou [ctb]
Maintainer	Rob Hyndman <[email protected]>
License	GPL-3
Version	8.5
URL	http://pkg.robjhyndman.com/forecast https://github.com/robjhyndman/forecast
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("forecast")`