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DBR: Discrete Beta Regression
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) <DOI:10.1214/aos/1056562461>), as implemented in the R package MfUSampler (Mahani and Sharabiani (2017) <DOI: 10.18637/jss.v078.c01>).
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Package details |
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| Author | Alireza Mahani [cre, aut], Mansour Sharabiani [aut], Alex Bottle [aut], Cathy Price [aut] |
| Maintainer | Alireza Mahani <alireza.s.mahani@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.4.1 |
| Package repository | View on CRAN |
| Installation |
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