Package: forecast
Version: 4.03
Date: 2013-03-14
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 (>= 2.14.0), stats, graphics
Imports: tseries, fracdiff, zoo, Rcpp (>= 0.9.10), RcppArmadillo (>=
        0.2.35), nnet, colorspace, parallel
Suggests: fracdiff
LinkingTo: Rcpp, RcppArmadillo
LazyData: yes
ByteCompile: TRUE
Author: Rob J Hyndman <Rob.Hyndman@monash.edu> with contributions from
        George Athanasopoulos, Slava Razbash, Drew Schmidt, Zhenyu Zhou
        and Yousaf Khan
Maintainer: Rob J Hyndman <Rob.Hyndman@monash.edu>
License: GPL (>= 2)
URL: http://robjhyndman.com/software/forecast/
Packaged: 2013-03-17 11:01:14 UTC; hyndman
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-03-17 12:28:31
Built: R 2.14.2; i386-pc-mingw32; 2013-03-29 15:14:31 UTC; windows
Archs: i386, x64
