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>.
| Version: | 1.0.8 |
| Imports: | Rcpp (≥ 1.0.7),coda,MASS |
| LinkingTo: | Rcpp,RcppArmadillo,BH |
| Published: | 2024-04-16 |
| DOI: | 10.32614/CRAN.package.bpr |
| Author: | Laura D'Angelo |
| Maintainer: | Laura D'Angelo <laura.dangelo at live.com> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | bpr results |
| Reference manual: | bpr.html ,bpr.pdf |
| Package source: | bpr_1.0.8.tar.gz |
| Windows binaries: | r-devel:bpr_1.0.8.zip, r-release:bpr_1.0.8.zip, r-oldrel:bpr_1.0.8.zip |
| macOS binaries: | r-release (arm64):bpr_1.0.8.tgz, r-oldrel (arm64):bpr_1.0.8.tgz, r-release (x86_64):bpr_1.0.8.tgz, r-oldrel (x86_64):bpr_1.0.8.tgz |
| Old sources: | bpr archive |
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