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betaARMA

1.2.0

Beta Autoregressive Moving Average Models

0packages depend
2.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Everton da CostaFirst published 2026-03-293 releasesCRAN page ↗GitHub ↗

Fits Beta Autoregressive Moving Average (BARMA) models for time series data distributed in the standard unit interval (0, 1). The estimation is performed via the conditional maximum likelihood method using the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-Newton algorithm. A ridge penalization scheme is available to improve numerical stability of the estimation, as proposed by Cribari-Neto, Costa and Fonseca (2025) doi:10.1214/25-BJPS645. The package includes tools for model fitting, diagnostic checking, and forecasting, along with two hydro-environmental datasets from Brazil. Based on the work of Rocha and Cribari-Neto (2009) doi:10.1007/s11749-008-0112-z and the associated erratum Rocha and Cribari-Neto (2017) doi:10.1007/s11749-017-0528-4. The original code was developed by Fabio M. Bayer.

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-11
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-05-10
    12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-30
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,101 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
60%
Documented parameters
96%
Return-value docs
100%
References docs
33%

Downloads

2.3K
CRAN downloads in the past year
Rank #6,657 · ~6/day · ~191/mo
Daily download trend is not available in this view yet.
28330 days
1.3K90 days
2.3K1 year
Compare downloads with other packages →
Also on84 r2u47 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
barmacranforecastingrstatisticstime-series
Last activity 2026-06-18

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/everton-da-costa/betaarma on 2026-08-16.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Show all practices
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (2)
Contributor, Thesis advisor
Contributor
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.2.0Latest
    2026-05-24 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.0
    2026-04-15 · diff ↗
  • 1.0.1
    2026-03-29
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-29
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5
Bundled data
4.6 KB / 2 files
Download size
393 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("betaARMA")
da Costa, E., Cribari-Neto, F., & Scher, V. (2026). betaARMA: Beta Autoregressive Moving Average Models (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.betaARMA

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 betaARMA version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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