Package: zoib 1.6

Fang Liu

zoib: Bayesian Inference for Beta Regression and Zero-or-One Inflated Beta Regression

Fits beta regression and zero-or-one inflated beta regression and obtains Bayesian Inference of the model via the Markov Chain Monte Carlo approach implemented in JAGS.

Authors:Fang Liu <fang.liu.131@nd.edu> with contributions from Yunchuan Kong

zoib_1.6.tar.gz
zoib_1.6.tar.gz(r-4.5-noble)zoib_1.6.tar.gz(r-4.4-noble)
zoib_1.6.tgz(r-4.4-emscripten)zoib_1.6.tgz(r-4.3-emscripten)
zoib.pdf |zoib.html✨
zoib/json (API)

# Install 'zoib' in R:
install.packages('zoib', repos = 'https://cloud.r-project.org')
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • AlcoholUse - California County-level Teenager Monthly Alcohol Use data
  • BiRepeated - Data from a correlated bivariate beta distribution with repeated measures
  • GasolineYield - Gasoline Yields Data

On CRAN:

Conda:r-zoib-1.6(2025-03-25)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

1.78 score 3 stars 509 downloads 2 mentions 4 exports 5 dependencies

Last updated 2 years agofrom:1d157759ce. Checks:2 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-linuxNOTEMar 23 2025
R-4.4-linuxOKMar 23 2025

Exports:check.psrfparaplotpred.zoibzoib

Dependencies:abindcodaFormulalatticerjags

Citation

To cite package ‘zoib’ in publications use:

Kong FLwcfY (2023). zoib: Bayesian Inference for Beta Regression and Zero-or-One Inflated Beta Regression. R package version 1.6, https://CRAN.R-project.org/package=zoib.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {zoib: Bayesian Inference for Beta Regression and
      Zero-or-One Inflated Beta Regression},
    author = {Fang Liu with contributions from Yunchuan Kong},
    year = {2023},
    note = {R package version 1.6},
    url = {https://CRAN.R-project.org/package=zoib},
  }