Package: bpr
Type: Package
Title: Fitting Bayesian Poisson Regression
Version: 1.0.8
Date: 2024-04-15
Author: Laura D'Angelo
Maintainer: Laura D'Angelo <laura.dangelo@live.com>
Description: 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>.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.2.0
Imports: Rcpp (>= 1.0.7), coda, MASS
LinkingTo: Rcpp, RcppArmadillo, BH
NeedsCompilation: yes
Packaged: 2024-04-15 08:56:04 UTC; laura
Repository: CRAN
Date/Publication: 2024-04-16 15:20:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 13:29:59 UTC; unix
Archs: bpr.so.dSYM
