Methods and tools for displaying and analysing
univariate time series forecasts including exponential smoothing
via state space models and automatic ARIMA modelling.
Version: |
5.6 |
Depends: |
R (≥ 3.0.2), stats, graphics, zoo, timeDate |
Imports: |
tseries, fracdiff, Rcpp (≥ 0.11.0), nnet, colorspace, parallel |
LinkingTo: |
Rcpp (≥ 0.11.0), RcppArmadillo (≥ 0.2.35) |
Suggests: |
testthat, fpp |
Published: |
2014-09-24 |
Author: |
Rob J Hyndman with contributions from
George Athanasopoulos, Slava Razbash, Drew Schmidt, Zhenyu Zhou, Yousaf Khan,
Christoph Bergmeir, Earo Wang |
Maintainer: |
Rob J Hyndman <Rob.Hyndman at monash.edu> |
BugReports: |
https://github.com/robjhyndman/forecast/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
http://robjhyndman.com/software/forecast/ |
NeedsCompilation: |
yes |
Materials: |
README ChangeLog |
In views: |
Econometrics, Environmetrics, Finance, TimeSeries |
CRAN checks: |
forecast results |