Package: Bayesiangammareg 0.1.0

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.

Authors:Arturo Camargo Lozano [aut, cre], Edilberto Cepeda Cuervo [aut]

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Bayesiangammareg/json (API)

# Install 'Bayesiangammareg' in R:
install.packages('Bayesiangammareg', repos = c('https://arturloza.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8 exports 0.00 score 1 dependencies 196 downloads

Last updated 5 years agofrom:9fca77a418. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:BayesiangammaregcriteriaGammaIdentityGammaLoggammaresidualsprint.Bayesiangammaregprint.summary.Bayesiangammaregsummary.Bayesiangammareg

Dependencies:mvtnorm