Package: forecast
Version: 7.3
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, Rcpp (>= 0.11.0), nnet, colorspace,
        parallel, ggplot2 (>= 2.0.0)
Suggests: testthat
LinkingTo: Rcpp (>= 0.11.0), RcppArmadillo (>= 0.2.35)
LazyData: yes
ByteCompile: TRUE
Authors@R: c(person(given="Rob", family="Hyndman", role=c("aut", "cre", "cph"),
  email="Rob.Hyndman@monash.edu"))
BugReports: https://github.com/robjhyndman/forecast/issues
License: GPL (>= 2)
URL: http://github.com/robjhyndman/forecast
NeedsCompilation: yes
Packaged: 2016-10-12 10:12:00 UTC; robjhyndman
Author: Rob Hyndman [aut, cre, cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>
Repository: CRAN
Date/Publication: 2016-10-13 00:38:06
Built: R 3.3.2; x86_64-w64-mingw32; 2016-12-02 03:51:07 UTC; windows
Archs: i386, x64
