forecast (8.1)

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.

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, nnfor, portes, RcmdrPlugin.epack, Rlgt, Rssa, spTimer, thief, Tushare, ZRA
Reverse suggests: AER, aurelius, caschrono, corset, dplR, epimdr, gamclass, ggfortify, lifecontingencies, mFilter, origami, pander, pmml, portes, rainbow, smooth, sophisthse, tactile, trajectories, tsbox, XLConnect
Reverse enhances: tsDyn

Released over 2 years ago.