smooth

Forecasting Using Smoothing Functions

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.

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Description file content

Package
smooth
Type
Package
Title
Forecasting Using Smoothing Functions
Version
2.4.0
Date
2018-02-10
URL
BugReports
https://github.com/config-i1/smooth/issues
Description
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.
License
GPL (>= 2)
Depends
R (>= 3.0.2)
Imports
Rcpp (>= 0.12.3), stats, graphics, forecast, nloptr, utils, zoo
LinkingTo
Rcpp, RcppArmadillo (>= 0.8.100.0.0)
Suggests
Mcomp, numDeriv, testthat, knitr, rmarkdown
VignetteBuilder
knitr
RoxygenNote
6.0.1
NeedsCompilation
yes
Packaged
2018-02-11 01:21:00 UTC; config
Author
Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer
Ivan Svetunkov
Repository
CRAN
Date/Publication
2018-02-11 14:19:38 UTC

install.packages('smooth')

2.4.0

11 days ago

https://github.com/config-i1/smooth

Ivan Svetunkov

GPL (>= 2)

Depends on

R (>= 3.0.2)

Imports

Rcpp (>= 0.12.3), stats, graphics, forecast, nloptr, utils, zoo

Suggests

Mcomp, numDeriv, testthat, knitr, rmarkdown

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