forecast
Forecasting Functions for Time Series and Linear Models
Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
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Description file content
- Package
- forecast
- Version
- 8.2
- 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
- BugReports
- https://github.com/robjhyndman/forecast/issues
- License
- GPL-3
- URL
- VignetteBuilder
- knitr
- RoxygenNote
- 6.0.1.9000
- NeedsCompilation
- yes
- Packaged
- 2017-09-25 01:25:04 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
- Repository
- CRAN
- Date/Publication
- 2017-09-25 18:12:34 UTC
