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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).
| Version: | 0.1.1 |
| Depends: | R (≥ 3.1.1), mvtnorm |
| Published: | 2026-05-22 |
| DOI: | 10.32614/CRAN.package.Bayesiangammareg |
| Author: | Arturo Camargo-Lozano [aut, cre], Edilberto Cepeda-Cuervo [aut] |
| Maintainer: | Arturo Camargo-Lozano <bacamargol at unal.edu.co> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://www.r-project.org |
| NeedsCompilation: | no |
| In views: | Bayesian |
| CRAN checks: | Bayesiangammareg results |
| Reference manual: | Bayesiangammareg.html , Bayesiangammareg.pdf |
| Package source: | Bayesiangammareg_0.1.1.tar.gz |
| Windows binaries: | r-devel: Bayesiangammareg_0.1.1.zip, r-release: Bayesiangammareg_0.1.1.zip, r-oldrel: Bayesiangammareg_0.1.1.zip |
| macOS binaries: | r-release (arm64): Bayesiangammareg_0.1.1.tgz, r-oldrel (arm64): Bayesiangammareg_0.1.1.tgz, r-release (x86_64): Bayesiangammareg_0.1.1.tgz, r-oldrel (x86_64): Bayesiangammareg_0.1.1.tgz |
| Old sources: | Bayesiangammareg archive |
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