smooth

Forecasting Using Smoothing Functions

Functions implementing Single Source of Error state-space models for purposes of time series analysis and forecasting. The package includes exponential smoothing, SARIMA in state-space forms and several simulation functions.

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Description file content

Package
smooth
Type
Package
Title
Forecasting Using Smoothing Functions
Version
2.4.3
Date
2018-05-03
URL
BugReports
https://github.com/config-i1/smooth/issues
Description
Functions implementing Single Source of Error state-space models for purposes of time series analysis and forecasting. The package includes exponential smoothing, SARIMA in state-space forms and several simulation functions.
License
GPL (>= 2)
Depends
R (>= 3.0.2), greybox (>= 0.2.1)
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
2018-05-03 13:11:17 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
2018-05-03 15:30:00 UTC

install.packages('smooth')

2.4.3

17 days ago

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

Ivan Svetunkov

GPL (>= 2)

Depends on

R (>= 3.0.2), greybox (>= 0.2.1)

Imports

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

Suggests

Mcomp, numDeriv, testthat, knitr, rmarkdown

Discussions