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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: 1.0.0
Imports: Cubist, FNN, forecast, ggplot2, ipred, methods, ranger, rpart, vctsfr
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-10-14
DOI: 10.32614/CRAN.package.utsf
Author: Maria Pilar Frias-Bustamante ORCID iD [aut], Francisco Martinez ORCID iD [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:

Reference manual: utsf.pdf
Vignettes: utsf (source, R code)

Downloads:

Package source: utsf_1.0.0.tar.gz
Windows binaries: r-devel: utsf_1.0.0.zip, r-release: utsf_1.0.0.zip, r-oldrel: utsf_1.0.0.zip
macOS binaries: r-release (arm64): utsf_1.0.0.tgz, r-oldrel (arm64): utsf_1.0.0.tgz, r-release (x86_64): utsf_1.0.0.tgz, r-oldrel (x86_64): utsf_1.0.0.tgz

Linking:

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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.