Package: Bayesiangammareg 0.1.1
Bayesiangammareg: Double Generalized Gamma Regression Models
Fits double generalized Gamma regression models from a Bayesian perspective, where both the mean and shape parameters are modeled simultaneously using flexible link functions. The methodology is based on Cepeda-Cuervo and Urdinola (2012) <doi:10.1080/03610918.2011.600500> and extended in Cepeda-Cuervo (2026), 'Double Generalized Linear Models: Likelihood and Bayesian Methods' (ISBN: 9781041169970). The package provides parameter estimation, model fitting, and model comparison tools, including Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC).
Authors:
Bayesiangammareg_0.1.1.tar.gz
Bayesiangammareg_0.1.1.zip(r-4.7-any)Bayesiangammareg_0.1.1.zip(r-4.6-any)Bayesiangammareg_0.1.1.zip(r-4.5-any)
Bayesiangammareg_0.1.1.tgz(r-4.6-any)Bayesiangammareg_0.1.1.tgz(r-4.5-any)
Bayesiangammareg_0.1.1.tar.gz(r-4.7-any)Bayesiangammareg_0.1.1.tar.gz(r-4.6-any)
Bayesiangammareg_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:c1ab4409fb. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 95 | ||
| source / vignettes | OK | 170 | ||
| linux-release | OK | 93 | ||
| macos-release | OK | 142 | ||
| macos-oldrel | OK | 174 | ||
| windows-devel | OK | 62 | ||
| windows-release | OK | 73 | ||
| windows-oldrel | OK | 71 | ||
| wasm-release | OK | 76 |
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 |