forecast (8.2)

3 users

Forecasting Functions for Time Series and Linear Models.

http://pkg.robjhyndman.com/forecast
https://github.com/robjhyndman/forecast
http://cran.r-project.org/web/packages/forecast

Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.

Maintainer: Rob Hyndman
Author(s): Rob Hyndman [aut, cre, cph], Mitchell O'Hara-Wild [aut], Christoph Bergmeir [aut], Slava Razbash [aut], Earo Wang [aut]

License: GPL-3

Uses: colorspace, fracdiff, ggplot2, lmtest, magrittr, nnet, Rcpp, timeDate, tseries, zoo, expsmooth, testthat, knitr, rmarkdown, rticles
Reverse depends: bfast, caschrono, ChangeAnomalyDetection, demography, dendrometeR, Dowd, EnvCpt, expsmooth, fma, forecastHybrid, forecTheta, forega, fpp, fpp2, ftsa, hts, MAPA, Mcomp, RcmdrPlugin.epack, Rssa, spTimer, thief, ZRA
Reverse suggests: AER, aurelius, caschrono, corset, dplR, gamclass, ggfortify, lifecontingencies, origami, pander, portes, rainbow, smooth, sophisthse, XLConnect
Reverse enhances: tsDyn

Released 22 days ago.


68 previous versions

Ratings

Overall:

  5.0/5 (1 vote)

Documentation:

  5.0/5 (1 vote)

Log in to vote.

Reviews


Related packages: dynlm, strucchange, tseries, zoo, MSBVAR, nlme, tsDyn, tsfa, urca, vars, dyn, CADFtest, dse, xts, gets, AER, boot, car, Ecdat, gmm(20 best matches, based on common tags.)


Search for forecast on google, google scholar, r-help, r-devel.

Visit forecast on R Graphical Manual.