forecast: Forecasting Functions for Time Series and Linear Models (original) (raw)
Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Version: | 8.23.0 |
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Depends: | R (≥ 3.5.0) |
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 |
LinkingTo: | Rcpp (≥ 0.11.0), RcppArmadillo (≥ 0.2.35) |
Suggests: | forecTheta, knitr, methods, rmarkdown, rticles, scales, seasonal, testthat (≥ 3.0.0), uroot |
Published: | 2024-06-20 |
DOI: | 10.32614/CRAN.package.forecast |
Author: | Rob Hyndman [aut, cre, cph], George Athanasopoulos [aut], Christoph Bergmeir [aut], Gabriel Caceres [aut], Leanne Chhay [aut], Kirill Kuroptev [aut], Mitchell O'Hara-Wild [aut], Fotios Petropoulos [aut], Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut], Federico Garza [ctb], Daniele Girolimetto [ctb], Ross Ihaka [ctb, cph], R Core Team [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb], Xiaoqian Wang [ctb], Zhenyu Zhou [ctb] |
Maintainer: | Rob Hyndman <Rob.Hyndman at monash.edu> |
BugReports: | https://github.com/robjhyndman/forecast/issues |
License: | GPL-3 |
URL: | https://pkg.robjhyndman.com/forecast/,https://github.com/robjhyndman/forecast |
NeedsCompilation: | yes |
Citation: | forecast citation info |
Materials: | README NEWS |
In views: | Econometrics, Environmetrics, Finance, MissingData, TimeSeries |
CRAN checks: | forecast results |
Documentation:
Downloads:
Reverse dependencies:
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