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.

Version: 8.0
Depends: R (≥ 3.0.2)
Imports: stats, graphics, tseries, fracdiff, Rcpp (≥ 0.11.0), nnet, colorspace, parallel, ggplot2 (≥ 2.0.0), magrittr, lmtest, zoo, timeDate
LinkingTo: Rcpp (≥ 0.11.0), RcppArmadillo (≥ 0.2.35)
Suggests: testthat, knitr, rmarkdown, expsmooth, rticles
Published: 2017-02-23
Author: Rob Hyndman [aut, cre, cph], Mitchell O'Hara-Wild [aut], Christoph Bergmeir [aut], Slava Razbash [aut], Earo Wang [aut]
Maintainer: Rob Hyndman <Rob.Hyndman at monash.edu>
BugReports: https://github.com/robjhyndman/forecast/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/robjhyndman/forecast
NeedsCompilation: yes
Citation: forecast citation info
Materials: README ChangeLog
In views: Econometrics, Environmetrics, Finance, TimeSeries
CRAN checks: forecast results

Downloads:

Reference manual: forecast.pdf
Vignettes: Automatic Time Series Forecasting: the forecast Package for R (Hyndman & Khandakar, JSS 2008)
Package source: forecast_8.0.tar.gz
Windows binaries: r-devel: forecast_8.0.zip, r-release: forecast_8.0.zip, r-oldrel: forecast_8.0.zip
OS X Mavericks binaries: r-release: forecast_8.0.tgz, r-oldrel: forecast_7.3.tgz
Old sources: forecast archive

Reverse dependencies:

Reverse depends: demography, dendrometeR, Dowd, EnvCpt, expsmooth, fma, forecastHybrid, forecTheta, forega, fpp, fpp2, ftsa, hts, ilc, MAPA, Mcomp, RcmdrPlugin.epack, Rssa, StMoMo, thief, TSPred, ZRA
Reverse imports: AEDForecasting, BETS, bfast, cricketr, GeomComb, gpDDE, grattan, iClick, imputeTestbench, imputeTS, lfl, mafs, midasr, msltrend, PredictTestbench, PSF, robets, smooth, stR, Tcomp, tsDyn, tsoutliers, tsSelect, WRTDStidal
Reverse suggests: AER, caschrono, dplR, gamclass, ggfortify, lifecontingencies, mFilter, portes, rainbow, sophisthse

Linking:

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