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Routines for forecasting univariate time series using Theta Models.
Version: | 2.6.2 |
Depends: | R (≥ 2.0), forecast, tseries |
Published: | 2022-11-11 |
DOI: | 10.32614/CRAN.package.forecTheta |
Author: | Jose Augusto Fiorucci [aut, cre, cph], Francisco Louzada [aut, cph] |
Maintainer: | Jose Augusto Fiorucci <jafiorucci at gmail.com> |
BugReports: | https://github.com/jafiorucci/forecTheta/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://www.sciencedirect.com/science/article/pii/S0169207016300243 |
NeedsCompilation: | no |
Materials: | ChangeLog |
In views: | TimeSeries |
CRAN checks: | forecTheta results |
Reference manual: | forecTheta.pdf |
Package source: | forecTheta_2.6.2.tar.gz |
Windows binaries: | r-devel: forecTheta_2.6.2.zip, r-release: forecTheta_2.6.2.zip, r-oldrel: forecTheta_2.6.2.zip |
macOS binaries: | r-release (arm64): forecTheta_2.6.2.tgz, r-oldrel (arm64): forecTheta_2.6.2.tgz, r-release (x86_64): forecTheta_2.6.2.tgz, r-oldrel (x86_64): forecTheta_2.6.2.tgz |
Old sources: | forecTheta archive |
Reverse imports: | seer |
Reverse suggests: | forecast |
Please use the canonical form https://CRAN.R-project.org/package=forecTheta to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.