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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.
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Package details |
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| Author | Arturo Camargo Lozano [aut, cre], Edilberto Cepeda Cuervo [aut] |
| Maintainer | Arturo Camargo Lozano <bacamargol@unal.edu.co> |
| License | GPL (>= 2) |
| Version | 0.1.0 |
| URL | https://www.r-project.org |
| Package repository | View on CRAN |
| Installation |
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