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:
Bayesiangammareg_0.1.0.tar.gz
Bayesiangammareg_0.1.0.zip(r-4.5)Bayesiangammareg_0.1.0.zip(r-4.4)Bayesiangammareg_0.1.0.zip(r-4.3)
Bayesiangammareg_0.1.0.tgz(r-4.5-any)Bayesiangammareg_0.1.0.tgz(r-4.4-any)Bayesiangammareg_0.1.0.tgz(r-4.3-any)
Bayesiangammareg_0.1.0.tar.gz(r-4.5-noble)Bayesiangammareg_0.1.0.tar.gz(r-4.4-noble)
Bayesiangammareg_0.1.0.tgz(r-4.4-emscripten)Bayesiangammareg_0.1.0.tgz(r-4.3-emscripten)
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:9fca77a418. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 19 2025 |
| R-4.5-win | OK | Feb 19 2025 |
| R-4.5-mac | OK | Feb 19 2025 |
| R-4.5-linux | OK | Feb 19 2025 |
| R-4.4-win | OK | Feb 19 2025 |
| R-4.4-mac | OK | Feb 19 2025 |
| R-4.3-win | OK | Feb 19 2025 |
| R-4.3-mac | OK | Feb 19 2025 |
Exports:BayesiangammaregcriteriaGammaIdentityGammaLoggammaresidualsprint.Bayesiangammaregprint.summary.Bayesiangammaregsummary.Bayesiangammareg
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Gamma Regression: Joint Mean and Shape Modeling | Bayesiangammareg |
| Criteria for Comparison the Bayesian Gamma Regression. | criteria |
| Bayesian Gamma Regression with link Identity for the Model of Mean. | GammaIdentity |
| Bayesian Gamma Regression with logarithm link for Model of Mean. | GammaLog |
| Residuals of the Gamma Regression | gammaresiduals |
| Print the Bayesian Gamma Regression | print.Bayesiangammareg |
| Print the Summary of the Bayesian Gamma Regression | print.summary.Bayesiangammareg |
| Print the Bayesian Gamma Regression | summary.Bayesiangammareg |
