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DBR
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]
[Scholar Profile | Author Map]
All associated links for this package
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:
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