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betaBayes

1.0.1

Bayesian Beta Regression

0packages depend
2.9Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Haiming ZhouFirst published 2021-06-082 releasesCRAN page ↗

Provides a class of Bayesian beta regression models for the analysis of continuous data with support restricted to an unknown finite support. The response variable is modeled using a four-parameter beta distribution with the mean or mode parameter depending linearly on covariates through a link function. When the response support is known to be (0,1), the above class of models reduce to traditional (0,1) supported beta regression models. Model choice is carried out via the logarithm of the pseudo marginal likelihood (LPML), the deviance information criterion (DIC), and the Watanabe-Akaike information criterion (WAIC). See Zhou and Huang (2022) doi:10.1016/j.csda.2021.107345.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
3
Dependencies · direct
Check history
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
25%

Downloads

2.9K
CRAN downloads in the past year
Rank #13,846 · ~8/day · ~246/mo
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17330 days
72790 days
2.9K1 year
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Also on400 r2u16 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (3)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

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

  • 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
  • 1.0.1Latest
    2022-05-09 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0
    2021-06-08
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-06-08
Total releases
2 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
61 KB / 1 file
Download size
73 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("betaBayes")

CRAN DOI

https://doi.org/10.32614/CRAN.package.betaBayes

BibTeX, derived from DESCRIPTION

@Manual{betaBayes,
  title  = {betaBayes: Bayesian Beta Regression},
  author = {Zhou, Haiming and Huang, Xianzheng},
  year   = {2022},
  note   = {R package version 1.0.1},
  doi    = {10.32614/CRAN.package.betaBayes},
  url    = {https://CRAN.R-project.org/package=betaBayes}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorybetaBayes,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {betaBayes} version 1.0.1},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/betaBayes},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for betaBayes version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/betaBayes

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for betaBayes version 1.0.1
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/betaBayes
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/betaBayes.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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