print.summary.Bayesiangammareg

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<p>Print the summary Bayesian Gamma regression for Joint modeling of Mean and Shape parameters</p>

Bayesian

gamma

Metropolis Hastings

Mean-Covariance 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.

Arturo Camargo Lozano

Bayesiangammareg

Bayesian Gamma Regression: Joint Mean and Shape Modeling

Edilberto Cepeda Cuervo

print.summary.Bayesiangammareg function

Print the Summary of the Bayesian Gamma Regression — print.summary.Bayesiangammareg

Print the Summary of the Bayesian Gamma Regression

print.summary.Bayesiangammareg: Print the Summary of the Bayesian Gamma Regression

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