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: 1.3.0 Imports: Cubist, FNN, forecast, generics, ggplot2, ipred, methods, ranger, rpart, vctsfr Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-07-08 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.
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