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Bayesiangammareg (version 0.1.0)

Bayesian Gamma Regression: Joint Mean and Shape Modeling

Description

Adjust the Gamma regression models from a Bayesian perspective described by Cepeda and Urdinola (2012) , 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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Version

Install

install.packages('Bayesiangammareg')

Monthly Downloads

220

Version

0.1.0

License

GPL (>= 2)

Maintainer

Arturo Camargo Lozano

Last Published

February 6th, 2020

Functions in Bayesiangammareg (0.1.0)

GammaLog

Bayesian Gamma Regression with logarithm link for Model of Mean.
gammaresiduals

Residuals of the Gamma Regression
summary.Bayesiangammareg

Print the Bayesian Gamma Regression
GammaIdentity

Bayesian Gamma Regression with link Identity for the Model of Mean.
print.summary.Bayesiangammareg

Print the Summary of the Bayesian Gamma Regression
Bayesiangammareg

Bayesian Gamma Regression: Joint Mean and Shape Modeling
criteria

Criteria for Comparison the Bayesian Gamma Regression.
print.Bayesiangammareg

Print the Bayesian Gamma Regression