Package: forecast
Version: 5.9
Date: 2015-02-26
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
Packaged: 2015-02-26 11:47:49 UTC; hyndman
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-02-26 16:46:54
Built: R 3.0.3; i386-w64-mingw32; 2015-04-16 23:29:37 UTC; windows
Archs: i386, x64
