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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 |
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.pdf |
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 |
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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.