Bayesiangammareg: Bayesian Gamma Regression: Joint Mean and Shape Modeling

Adjust the Gamma regression models from a Bayesian perspective described by Cepeda and Urdinola (2012) <doi:10.1080/03610918.2011.600500>, modeling the parameters of mean and shape and using different link functions for the parameter associated to the mean. And calculates different adjustment statistics such as the Akaike information criterion and Bayesian information criterion.

Version: 0.1.0
Depends: R (≥ 3.1.1), mvtnorm
Published: 2020-02-06
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
CRAN checks: Bayesiangammareg results

Downloads:

Reference manual: Bayesiangammareg.pdf
Package source: Bayesiangammareg_0.1.0.tar.gz
Windows binaries: r-devel: Bayesiangammareg_0.1.0.zip, r-devel-gcc8: Bayesiangammareg_0.1.0.zip, r-release: Bayesiangammareg_0.1.0.zip, r-oldrel: Bayesiangammareg_0.1.0.zip
OS X binaries: r-release: Bayesiangammareg_0.1.0.tgz, r-oldrel: Bayesiangammareg_0.1.0.tgz

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