Package: Bayesiangammareg
Type: Package
Title: Double Generalized Gamma Regression Models
Version: 0.1.1
Date: 2026-05-21
Author: Arturo Camargo-Lozano [aut, cre], Edilberto Cepeda-Cuervo [aut]
Authors@R: c(person("Arturo", "Camargo-Lozano", email = "bacamargol@unal.edu.co", role = c("aut", "cre")), person("Edilberto", "Cepeda-Cuervo", email = "ecepedac@unal.edu.co", role = "aut"))
Maintainer: Arturo Camargo-Lozano <bacamargol@unal.edu.co>
Description: Fits double generalized Gamma regression models from a
        Bayesian perspective, where both the mean and shape parameters
        are modeled simultaneously using flexible link functions. The
        methodology is based on Cepeda-Cuervo and Urdinola (2012)
        <doi:10.1080/03610918.2011.600500> and extended in
        Cepeda-Cuervo (2026), 'Double Generalized Linear Models:
        Likelihood and Bayesian Methods' (ISBN: 9781041169970). The
        package provides parameter estimation, model fitting, and model
        comparison tools, including Akaike Information Criterion (AIC)
        and Bayesian Information Criterion (BIC).
Depends: R (>= 3.1.1), mvtnorm
License: GPL (>= 2)
NeedsCompilation: no
URL: https://www.r-project.org
Packaged: 2026-10-19 08:07:14 UTC; root
Repository: https://arturloza.r-universe.dev
Date/Publication: 2026-05-22 06:52:14 UTC
RemoteUrl: https://github.com/cran/Bayesiangammareg
RemoteRef: HEAD
RemoteSha: c1ab4409fb0d3c454e78024d8ac145a0d02721a7