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 Documentation: Reference manual: bpr.pdf Downloads: 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=bpr to link to this page.
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