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.pdf |Bayesiangammareg.html
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.

1.00 score 250 downloads 8 exports 1 dependencies

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

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winOKNov 21 2024
R-4.4-macOKNov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:BayesiangammaregcriteriaGammaIdentityGammaLoggammaresidualsprint.Bayesiangammaregprint.summary.Bayesiangammaregsummary.Bayesiangammareg

Dependencies:mvtnorm