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betaBayes  

Bayesian Beta Regression
View on CRAN: Click here


Download and install betaBayes package within the R console
Install from CRAN:
install.packages("betaBayes")

Install from Github:
library("remotes")
install_github("cran/betaBayes")

Install by package version:
library("remotes")
install_version("betaBayes", "1.0.1")



Attach the package and use:
library("betaBayes")
Maintained by
Haiming Zhou
[Scholar Profile | Author Map]
First Published: 2021-06-08
Latest Update: 2022-05-09
Description:
Provides a class of Bayesian beta regression models for the analysis of continuous data with support restricted to an unknown finite support. The response variable is modeled using a four-parameter beta distribution with the mean or mode parameter depending linearly on covariates through a link function. When the response support is known to be (0,1), the above class of models reduce to traditional (0,1) supported beta regression models. Model choice is carried out via the logarithm of the pseudo marginal likelihood (LPML), the deviance information criterion (DIC), and the Watanabe-Akaike information criterion (WAIC). See Zhou and Huang (2022) .
How to cite:
Haiming Zhou (2021). betaBayes: Bayesian Beta Regression. R package version 1.0.1, https://cran.r-project.org/web/packages/betaBayes. Accessed 01 Apr. 2025.
Previous versions and publish date:
1.0 (2021-06-08 09:40)
Other packages that cited betaBayes R package
View betaBayes citation profile
Other R packages that betaBayes depends, imports, suggests or enhances
Complete documentation for betaBayes
Functions, R codes and Examples using the betaBayes R package
Some associated functions: beta4reg . covid . cox.snell.beta4reg . predictl.beta4reg . 
Some associated R codes: beta4reg.R . wrappers.R .  Full betaBayes package functions and examples
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