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: 2026-07-11 06:41:19 UTC; root
Author: Alireza Mahani [cre, aut], Mansour Sharabiani [aut], Alex
        Bottle [aut], Cathy Price [aut]
Maintainer: Alireza Mahani <alireza.s.mahani@gmail.com>
Repository: https://asmahani.r-universe.dev
Date/Publication: 2023-02-20 22:40:06 UTC
RemoteUrl: https://github.com/cran/DBR
RemoteRef: HEAD
RemoteSha: 457780458f43f282d2dba6465ddc0e6c2278e410