Package: zoib 1.6.1

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 [aut, cre], Yunchuan Kong [ctb]

zoib_1.6.1.tar.gz
zoib_1.6.1.tar.gz(r-4.7-any)zoib_1.6.1.tar.gz(r-4.6-any)
zoib_1.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
zoib/json (API)

# Install 'zoib' in R:
install.packages('zoib', repos = c('https://cran.r-universe.dev', '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:

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

jagscpp

2.49 score 3 stars 51 scripts 369 downloads 2 mentions 4 exports 5 dependencies

Last updated from:debe5b54a8. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK96
source / vignettesOK134
linux-release-x86_64OK133
wasm-releaseOK98

Exports:check.psrfparaplotpred.zoibzoib

Dependencies:abindcodaFormulalatticerjags