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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.
Getting started
Browse package contents
Package details |
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| Author | Maria Pilar Frias-Bustamante [aut] (ORCID: <https://orcid.org/0000-0001-6886-0953>), Francisco Martinez [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-5206-1898>) |
| Maintainer | Francisco Martinez <fmartin@ujaen.es> |
| License | MIT + file LICENSE |
| Version | 1.3.3 |
| URL | https://github.com/franciscomartinezdelrio/utsf |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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