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utsf: Univariate Time Series Forecasting
An engine for univariate time series forecasting using
different regression models in an autoregressive way. The engine
provides an uniform interface for applying the different models.
Furthermore, it is extensible so that users can easily apply their
own regression models to univariate time series forecasting and
benefit from all the features of the engine, such as preprocessings
or estimation of forecast accuracy.
| Version: |
1.1.0 |
| Imports: |
Cubist, FNN, forecast, ggplot2, ipred, methods, ranger, rpart, vctsfr |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2024-12-10 |
| DOI: |
10.32614/CRAN.package.utsf |
| Author: |
Maria Pilar Frias-Bustamante
 [aut],
Francisco Martinez
[aut, cre,
cph] |
| Maintainer: |
Francisco Martinez <fmartin at ujaen.es> |
| BugReports: |
https://github.com/franciscomartinezdelrio/utsf/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/franciscomartinezdelrio/utsf |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
utsf results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=utsf
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.
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