DESCRIPTION

Package: forecast
Version: 5.7
Date: 2014-12-17
Title: Forecasting functions for time series and linear models
Description: Methods and tools for displaying and analysing
             univariate time series forecasts including exponential smoothing
             via state space models and automatic ARIMA modelling.
Depends: R (>= 3.0.2), stats, graphics, zoo, timeDate
Imports: tseries, fracdiff, Rcpp (>= 0.11.0), nnet, colorspace, parallel
Suggests: testthat, fpp
LinkingTo: Rcpp (>= 0.11.0), RcppArmadillo (>= 0.2.35)
LazyData: yes
ByteCompile: TRUE
Author: Rob J Hyndman <Rob.Hyndman@monash.edu> with contributions from
	George Athanasopoulos, Slava Razbash, Drew Schmidt, Zhenyu Zhou, Yousaf Khan, 
  Christoph Bergmeir, Earo Wang
Maintainer: Rob J Hyndman <Rob.Hyndman@monash.edu>
BugReports: https://github.com/robjhyndman/forecast/issues
License: GPL (>= 2)
URL: http://github.com/robjhyndman/forecast