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autoTS

0.9.11Package record

Automatic Model Selection and Prediction for Univariate Time Series

0packages depend
3.4Kdownloads / year
–test coverage
9/13flavors OK

Overview

About

Offers a set of functions to easily make predictions for univariate time series. 'autoTS' is a wrapper of existing functions of the 'forecast' and 'prophet' packages, harmonising their outputs in tidy dataframes and using default values for each. The core function getBestModel() allows the user to effortlessly benchmark seven algorithms along with a bagged estimator to identify which one performs the best for a given time series.

Install

Health

CRAN checks
4NOTE9OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Vivien Roussez <vivien.roussez@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Vivien",
                    family = "Roussez",
                    role = c("aut", "cre"),
                    email = "vivien.roussez@gmail.com")
as necessary.
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from:
  ‘plotly’ ‘shinycssloaders’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 2.0 min · r-oldrel-windows-x86_64
Status changes
  • NOTE9 OK, 4 NOTE2026-07-29
  • ERROR8 OK, 4 NOTE, 1 ERROR2026-07-27
  • NOTE9 OK, 4 NOTE2026-06-09
  • ERROR9 OK, 3 NOTE, 1 ERROR2026-06-08
  • NOTE7 OK, 7 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.9.11
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
15
Examples that run
100%13 run in a plain check
Exported functions with examples
87%
Documented parameters
97%
Return-value docs
93%
Help pages citing references
0%

Downloads

3.4K
CRAN downloads in the past year
Rank #8,708 · ~9/day · ~281/mo
Daily download trend is not available in this view yet.
40230 days
1.1K90 days
3.4K1 year
Compare downloads with other packages →
Also on88 r2u54 autocran

Repository

10Stars
3Forks
0Open issues
0Open PRs
0Releases
35Commits
2Commit identities
35 commits · Last activity 2020-06-05
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
245
Median days to close, 50 most recently updated closed PRs
not measured
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/vivienroussez/autots on 2026-10-11.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing autoTS adds 108 packages (62 with compiled code, 102 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

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

Nothing depends on this yet.

People & History

People (from the free-text Author field) (1)

Maintainer since 0.9.1 (2020)

Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.9.11Latest
    record
    2020-06-05 · current release · diff ↗
  • 0.9.1
    record
    2020-06-02
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-06-02
Total releases
2 / 6 yrs
License
GPL-3 OSI
Download size
794 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("autoTS")

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 autoTS version 0.9.11 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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