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Univariate Time Series Forecasting

0packages depend
3.3Kdownloads / year
15.1%test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.3.4
  • 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

CRAN checks
13OK
Slowest check: 4.7 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.3.4
READMEYes · 133 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.3.4Citation fileNo
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%
Vignettes (1)

Downloads

3.3K
CRAN downloads in the past year
Rank #16,126 · ~9/day · ~274/mo
Daily download trend is not available in this view yet.
25730 days
77790 days
3.3K1 year
Compare downloads with other packages →
Also on103 r2u2 autocran

Repository

3Stars
1Forks
2Open issues
0Open PRs
8Releases
148Commits
1Commit identities
148 commits · Last activity 2026-07-21
Responsiveness
not measured

Stars over time

2025-07-08 · 32026-07-07 · 3
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (2)
README.Rmd

GitHub Pages site last deployed 2024-10-09

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

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.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0.0 (2024), Copyright holder
Releases (8)

Pick two releases to compare their code metrics.

  • 1.3.4Latest
    record
    2026-07-21 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.3
    record
    2026-04-22 · diff ↗
  • 1.3.2
    record
    2026-04-14 · diff ↗
  • 1.3.1
    record
    2025-10-23 · diff ↗ ·
    removed 1 export
    trend
  • 1.3.0
    record
    2025-07-08 · diff ↗ ·
    removed 1 export
    evaluation
    added 3 exports
    create_model, efa, tune_grid
  • 1.2.0
    record
    2025-05-19 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.0
    record
    2024-12-10 · diff ↗ ·
    removed 1 export
    differences
    added 2 exports
    evaluation, trend
  • 1.0.0
    record
    2024-10-14
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-10-14
Total releases
8 / 2 yrs
License
MIT + file LICENSE OSI
Download size
120 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("utsf")
Martinez, F., & Frias-Bustamante, M. P. (2026). utsf: Univariate Time Series Forecasting (Version 1.3.4) [Computer software]. https://doi.org/10.32614/CRAN.package.utsf

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for utsf version 1.3.4 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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