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
8.1
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
2017-06-17 04:50:32 UTC; robjhyndman
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
2017-06-17 23:07:45 UTC

install.packages('forecast')

8.1

11 days ago

http://github.com/robjhyndman/forecast

Rob Hyndman

GPL (>= 3)

Depends on

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

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