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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4.1 |
rolling linux/jammy R-4.5 | DBR_1.4.1.tar.gz |
701.7 KiB |
1.4.1 |
rolling linux/noble R-4.5 | DBR_1.4.1.tar.gz |
701.6 KiB |
1.4.1 |
rolling source/ R- | DBR_1.4.1.tar.gz |
854.4 KiB |
1.4.1 |
latest linux/jammy R-4.5 | DBR_1.4.1.tar.gz |
701.7 KiB |
1.4.1 |
latest linux/noble R-4.5 | DBR_1.4.1.tar.gz |
701.6 KiB |
1.4.1 |
latest source/ R- | DBR_1.4.1.tar.gz |
854.4 KiB |
1.4.1 |
2026-04-26 source/ R- | DBR_1.4.1.tar.gz |
854.4 KiB |
1.4.1 |
2026-04-23 source/ R- | DBR_1.4.1.tar.gz |
854.4 KiB |
1.4.1 |
2026-04-09 windows/windows R-4.5 | DBR_1.4.1.zip |
702.9 KiB |
1.4.1 |
2025-04-20 source/ R- | DBR_1.4.1.tar.gz |
854.4 KiB |