Package: DBR
Type: Package
Title: Discrete Beta Regression
Version: 1.4.1
Date: 2023-02-20
Authors@R: c(person("Alireza", "Mahani", email = "alireza.s.mahani@gmail.com", role = c("cre", "aut"))
  , person("Mansour", "Sharabiani", role = "aut"), person("Alex", "Bottle", role = "aut"), person("Cathy", "Price", role = "aut")) 
Description: Bayesian Beta Regression, adapted for bounded discrete responses, commonly seen in survey responses.
  Estimation is done via Markov Chain Monte Carlo sampling, using a Gibbs wrapper around univariate slice sampler 
  (Neal (2003) <DOI:10.1214/aos/1056562461>), as implemented in the R package MfUSampler 
  (Mahani and Sharabiani (2017) <DOI: 10.18637/jss.v078.c01>).
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: MfUSampler, methods, coda
NeedsCompilation: no
Packaged: 2023-02-20 19:43:28 UTC; ec2-user
Author: Alireza Mahani [cre, aut],
  Mansour Sharabiani [aut],
  Alex Bottle [aut],
  Cathy Price [aut]
Maintainer: Alireza Mahani <alireza.s.mahani@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-20 23:40:06 UTC
Built: R 4.6.0; ; 2026-04-25 13:50:16 UTC; unix
