bpr
Fitting Bayesian Poisson Regression
Posterior sampling and inference for Bayesian Poisson regression models. The model specification makes use of Gaussian (or conditionally Gaussian) prior distributions on the regression coefficients. Details on the algorithm are found in D'Angelo and Canale (2023) <doi:10.1080/10618600.2022.2123337>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.8 |
rolling linux/jammy R-4.5 | bpr_1.0.8.tar.gz |
206.9 KiB |
1.0.8 |
rolling linux/noble R-4.5 | bpr_1.0.8.tar.gz |
211.2 KiB |
1.0.8 |
rolling source/ R- | bpr_1.0.8.tar.gz |
24.1 KiB |
1.0.8 |
latest linux/jammy R-4.5 | bpr_1.0.8.tar.gz |
206.9 KiB |
1.0.8 |
latest linux/noble R-4.5 | bpr_1.0.8.tar.gz |
211.2 KiB |
1.0.8 |
latest source/ R- | bpr_1.0.8.tar.gz |
24.1 KiB |
1.0.8 |
2026-04-26 source/ R- | bpr_1.0.8.tar.gz |
24.1 KiB |
1.0.8 |
2026-04-23 source/ R- | bpr_1.0.8.tar.gz |
24.1 KiB |
1.0.8 |
2026-04-09 windows/windows R-4.5 | bpr_1.0.8.zip |
615.5 KiB |
1.0.8 |
2025-04-20 source/ R- | bpr_1.0.8.tar.gz |
24.1 KiB |