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.
- Version0.1.0
- R version≥ 3.1.1
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release02/06/2020
Documentation
Team
Arturo Camargo Lozano
Edilberto Cepeda Cuervo
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- Depends1 package