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: |
1.3.1 |
| Imports: |
Cubist, FNN, forecast, generics, ggplot2, ipred, methods, ranger, rpart, vctsfr |
| Suggests: |
knitr, nnet, randomForest, rmarkdown, testthat (≥ 3.0.0), xgboost |
| Published: |
2025-10-23 |
| 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:
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