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DBR  

Discrete Beta Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DBR", "1.4.1")



Attach the package and use:
library("DBR")
Maintained by
Alireza Mahani
[Scholar Profile | Author Map]
First Published: 2022-03-23
Latest Update: 2023-02-20
Description:
Bayesian Beta Regression, adapted for bounded discrete responses, commonly seen in survey responses. Estimation is done via Markov Chain Monte Carlo sampling, using a Gibbs wrapper around univariate slice sampler (Neal (2003) ), as implemented in the R package MfUSampler (Mahani and Sharabiani (2017) ).
How to cite:
Alireza Mahani (2022). DBR: Discrete Beta Regression. R package version 1.4.1, https://cran.r-project.org/web/packages/DBR. Accessed 23 Feb. 2025.
Previous versions and publish date:
1.2.2 (2022-03-23 13:30), 1.2.3 (2022-03-24 09:40), 1.3.0 (2022-07-18 15:10), 1.4.0 (2022-08-06 22:20)
Other packages that cited DBR R package
View DBR citation profile
Other R packages that DBR depends, imports, suggests or enhances
Complete documentation for DBR
Functions, R codes and Examples using the DBR R package
Full DBR package functions and examples
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