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
8.7
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
colorspace, fracdiff, ggplot2 (>= 2.2.1), graphics, lmtest, magrittr, nnet, parallel, Rcpp (>= 0.11.0), stats, timeDate, tseries, urca, zoo
Suggests
expsmooth, uroot, knitr, rmarkdown, rticles, testthat, methods
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
Encoding
UTF-8
RoxygenNote
6.1.1
NeedsCompilation
yes
Packaged
2019-04-29 00:15:11 UTC; mitchell
Author
Rob Hyndman [aut, cre, cph] (), George Athanasopoulos [aut], Christoph Bergmeir [aut] (), Gabriel Caceres [aut], Leanne Chhay [aut], Mitchell O'Hara-Wild [aut] (), Fotios Petropoulos [aut] (), Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut] (), R Core Team [ctb, cph], Ross Ihaka [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb] (), Zhenyu Zhou [ctb]
Maintainer
Rob Hyndman
Repository
CRAN
Date/Publication
2019-04-29 05:40:06 UTC

install.packages('forecast')

8.7

a month ago

http://pkg.robjhyndman.com/forecast

Rob Hyndman

GPL-3

Depends on

R (>= 3.0.2),

Imports

colorspace, fracdiff, ggplot2 (>= 2.2.1), graphics, lmtest, magrittr, nnet, parallel, Rcpp (>= 0.11.0), stats, timeDate, tseries, urca, zoo

Suggests

expsmooth, uroot, knitr, rmarkdown, rticles, testthat, methods

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