Package: DBR
Type: Package
Title: Discrete Beta Regression
Version: 1.2.3
Date: 2022-03-23
Authors@R: c(person("Alireza", "Mahani", email = "alireza.s.mahani@gmail.com", role = c("cre", "aut"))
  , person("Mansour", "Sharabiani", 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
NeedsCompilation: no
Packaged: 2022-03-24 02:56:15 UTC; ubuntu
Author: Alireza Mahani [cre, aut],
  Mansour Sharabiani [aut]
Maintainer: Alireza Mahani <alireza.s.mahani@gmail.com>
Repository: CRAN
Date/Publication: 2022-03-24 08:40:21 UTC
Built: R 4.0.5; ; 2022-04-21 03:45:39 UTC; windows
