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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
In views: Bayesian
CRAN checks: Bayesiangammareg results

Documentation:

Reference manual: Bayesiangammareg.pdf

Downloads:

Package source: Bayesiangammareg_0.1.0.tar.gz
Windows binaries: r-devel: Bayesiangammareg_0.1.0.zip, r-release: Bayesiangammareg_0.1.0.zip, r-oldrel: Bayesiangammareg_0.1.0.zip
macOS binaries: r-release (arm64): Bayesiangammareg_0.1.0.tgz, r-oldrel (arm64): Bayesiangammareg_0.1.0.tgz, r-release (x86_64): Bayesiangammareg_0.1.0.tgz, r-oldrel (x86_64): Bayesiangammareg_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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