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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>.
Getting started
Browse package contents
Package details |
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| Author | Laura D'Angelo |
| Maintainer | Laura D'Angelo <laura.dangelo@live.com> |
| License | GPL (>= 2) |
| Version | 1.0.8 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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