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: 2026-05-22 02:02:44 UTC; Arturo
Repository: CRAN
Date/Publication: 2026-05-22 06:52:14 UTC
Built: R 4.6.0; ; 2026-05-25 03:09:54 UTC; unix
