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forecast (8.24.0)

Published 2026-02-24 13:47:12 +00:00 by atheaadmin

Installation

Setup this registry in your Rprofile.site file:

options("repos" = c(getOption("repos"), c(gitea="")))

To install the package, run the following command:

install.packages("forecast")

For more information on the CRAN registry, see the documentation.

About this package

Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.Forecasting Functions for Time Series and Linear Models

Dependencies

Imports	colorspace, fracdiff, generics (>= 0.1.2), ggplot2 (>= 2.2.1), graphics, lmtest, magrittr, nnet, parallel, Rcpp (>= 0.11.0), stats, timeDate, tseries, urca, withr, zoo
Depends	R (>= 3.5.0),
LinkingTo	Rcpp (>= 0.11.0), RcppArmadillo (>= 0.2.35)
Suggests	forecTheta, knitr, methods, rmarkdown, rticles, scales, seasonal, testthat (>= 3.0.0), uroot

Details

CRAN

2026-02-24 13:47:12 +00:00

1

GPL-3

Rob Hyndman

George Athanasopoulos

Christoph Bergmeir

Gabriel Caceres

Leanne Chhay

Kirill Kuroptev

Mitchell O'Hara-Wild

Fotios Petropoulos

Slava Razbash

Earo Wang

Farah Yasmeen

Federico Garza

Daniele Girolimetto

Ross Ihaka

R Core Team

Daniel Reid

David Shaub

Yuan Tang

Xiaoqian Wang

Zhenyu Zhou

Project Site

568 KiB

Assets (1)

forecast_8.24.0.tar.gz 568 KiB

Versions (1) View all

8.24.0 2026-02-24