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arima2

3.4.4Package record

Likelihood Based Inference for ARIMA Modeling

0packages depend
5.9Kdownloads / year
54.7%test coverage
13/13flavors OK

Overview

About

Estimating and analyzing auto regressive integrated moving average (ARIMA) models. The primary function in this package is arima(), which fits an ARIMA model to univariate time series data using a random restart algorithm. This approach frequently leads to models that have model likelihood greater than or equal to that of the likelihood obtained by fitting the same model using the arima() function from the 'stats' package. This package enables proper optimization of model likelihoods, which is a necessary condition for performing likelihood ratio tests. This package relies heavily on the source code of the arima() function of the 'stats' package. For more information, please see Jesse Wheeler and Edward L. Ionides (2025) doi:10.1371/journal.pone.0333993.

Changes in 3.4.4
  • Updated maintainer address.
  • Updated roxygen2 version

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 3.4.4
READMEYes · 553 wordsVignettesNoNEWSYes · 100% structured · mentions 3.4.4Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
95%
Return-value docs
100%
Help pages citing references
29%

Downloads

5.9K
CRAN downloads in the past year
Rank #5,215 · ~16/day · ~493/mo
Daily download trend is not available in this view yet.
53330 days
1.6K90 days
5.9K1 year
Compare downloads with other packages →
Also on462 r2u45 autocran33 c2d4u

Repository

9Stars
2Forks
2Open issues
0Open PRs
7Releases
128Commits
4Commit identities
arimaarmamaximum-likelihood-estimationtime-seriestime-series-analysisr-package
License file reads as GPL-3.0 · 128 commits · Last activity 2026-07-07 · 0% stars, 30d · The default branch showed an older version (3.4.3.9000) than CRAN on 2026-10-21 · Discussions: 1 post
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
0
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-08-04 · 52026-09-09 · 9
PracticesBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/jeswheel/arima2 on 2026-10-21.

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 (1)
README.Rmd
Reproducibility and dev environment (1)
renv
CRAN release process (2)
cran-comments.mdrevdep/
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing arima2 adds 17 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Depends (1)
R >= 4.1.0
Imports (2)
ggplot2methods
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (6)
Author, Maintainer since 3.0.1 (2023), Copyright holder
Contributor
Contributor
Author of arima source code in stats package.
Copyright holder
Author of arima source code in stats package.
Releases (7)

Pick two releases to compare their code metrics.

Package metadata

First published
2023-10-05
Total releases
7 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Bundled data
1.6 KB / 1 file
Download size
121 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("arima2")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 arima2 version 3.4.4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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