Univariate Time Series Forecasting
Overview
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.
- The vignette has been improved
- README file improved
- In efa(), now the size of the validation set cannot be lower than the forecasting horizon
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 9 (2 internal)includes a package overview page
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 80%
- Documented parameters
- 100%
- Return-value docs
- 80%
- Help pages citing references
- 0%
- utsf HTML
Downloads
Repository
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6 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/franciscomartinezdelrio/utsf on 2026-10-22.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing utsf adds 74 packages (42 with compiled code, 70 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Package metadata
- First published
- 2024-10-14
- Total releases
- 8 / 2 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 120 KB
Cite
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