Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
| Version: | 8.16 |
| Depends: | R (≥ 3.0.2) |
| Imports: | colorspace, fracdiff, ggplot2 (≥ 2.2.1), graphics, lmtest, magrittr, nnet, parallel, Rcpp (≥ 0.11.0), stats, timeDate, tseries, urca, zoo |
| LinkingTo: | Rcpp (≥ 0.11.0), RcppArmadillo (≥ 0.2.35) |
| Suggests: | forecTheta, knitr, methods, rmarkdown, rticles, seasonal, testthat, uroot |
| Published: | 2022-01-10 |
| Author: | Rob Hyndman |
| 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 |
| Reference manual: | forecast.pdf |
| Vignettes: |
Automatic Time Series Forecasting: the forecast Package for R (Hyndman & Khandakar, JSS 2008) |
| Package source: | forecast_8.16.tar.gz |
| Windows binaries: | r-devel: forecast_8.16.zip, r-release: forecast_8.16.zip, r-oldrel: forecast_8.16.zip |
| macOS binaries: | r-release (arm64): forecast_8.16.tgz, r-oldrel (arm64): forecast_8.16.tgz, r-release (x86_64): forecast_8.16.tgz, r-oldrel (x86_64): forecast_8.16.tgz |
| Old sources: | forecast archive |
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