Package: forecast
Version: 8.0
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),
Imports: stats, graphics, tseries, fracdiff, Rcpp (>= 0.11.0), nnet,
        colorspace, parallel, ggplot2 (>= 2.0.0), magrittr, lmtest,
        zoo, timeDate
Suggests: testthat, knitr, rmarkdown, expsmooth, rticles
LinkingTo: Rcpp (>= 0.11.0), RcppArmadillo (>= 0.2.35)
LazyData: yes
ByteCompile: TRUE
Authors@R: c(
  person("Rob", "Hyndman", email="Rob.Hyndman@monash.edu", role=c("aut", "cre", "cph")),
  person("Mitchell", "O'Hara-Wild", role="aut"),
  person("Christoph", "Bergmeir", role="aut"),
  person("Slava", "Razbash", role="aut"),
  person("Earo", "Wang", role="aut")
  )
BugReports: https://github.com/robjhyndman/forecast/issues
License: GPL (>= 2)
URL: http://github.com/robjhyndman/forecast
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-02-23 00:20:56 UTC; hyndman
Author: Rob Hyndman [aut, cre, cph],
  Mitchell O'Hara-Wild [aut],
  Christoph Bergmeir [aut],
  Slava Razbash [aut],
  Earo Wang [aut]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>
Repository: CRAN
Date/Publication: 2017-02-23 08:31:18
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 08:33:38 UTC; windows
Archs: i386, x64
