The set of smoothing functions used for time series analysis and in forecasting. Currently the package includes exponential smoothing models and SARIMA in state-space form + several simulation functions.

Maintainer: Ivan Svetunkov <ivan at svetunkov.ru>

Author(s): Ivan Svetunkov* (Research Associate at Lancaster Centre for Forecasting, UK)

Install package and any missing dependencies by running this line in your R console:

install.packages("smooth")

Depends R (>= 3.0.2)
Imports Rcpp(>=0.12.3), stats, graphics, forecast, nloptr, utils, zoo
Suggests Mcomp, numDeriv, testthat, knitr, rmarkdown
Enhances
Linking to Rcpp, RcppArmadillo(>=0.6.500.0.0)
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MAPA
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Package smooth
Materials
URL https://github.com/config-i1/smooth
Task Views TimeSeries
Version 2.1.0
Published 2017-08-01
License GPL (>= 2)
BugReports https://github.com/config-i1/smooth/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks smooth check results
Package source smooth_2.1.0.tar.gz