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 <[email protected]> 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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

jagscpp

2.38 score 3 stars 40 scripts 370 downloads 2 mentions 4 exports 5 dependencies

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

TargetResultDate
Doc / VignettesOKDec 23 2024
R-4.5-linuxNOTEDec 23 2024

Exports:check.psrfparaplotpred.zoibzoib

Dependencies:abindcodaFormulalatticerjags