forecast (6.2)

Forecasting Functions for Time Series and Linear Models.

http://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 J Hyndman
Author(s): Rob J Hyndman <Rob.Hyndman@monash.edu>. Contributors include George Athanasopoulos, Christoph Bergmeir, Carlos Cinelli, Yousaf Khan, Zach Mayer, Slava Razbash, Drew Schmidt, David Shaub, Yuan Tang, Earo Wang, Zhenyu Zhou.

License: GPL (>= 2)

Uses: colorspace, fracdiff, nnet, Rcpp, timeDate, tseries, zoo, testthat, fpp
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, caschrono, corset, dplR, gamclass, ggfortify, lifecontingencies, portes, rainbow, smooth, sophisthse, XLConnect
Reverse enhances: tsDyn

Released over 1 year ago.