DESCRIPTION

Package: forecast
Version: 6.3
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, colorspace, parallel
Suggests: testthat, fpp
LazyData: yes
ByteCompile: TRUE
Author: 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.
Maintainer: Rob J Hyndman <Rob.Hyndman@monash.edu>
BugReports: https://github.com/robjhyndman/forecast/issues
License: GPL (>= 2)
URL: http://github.com/robjhyndman/forecast