bpr-package: bpr: Fitting Bayesian Poisson Regression
In bpr: Fitting Bayesian Poisson Regression
bpr-package R Documentation
bpr: Fitting Bayesian Poisson Regression
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 (2021) arXiv:2109.09520.
bpr documentation built on May 29, 2024, 11:28 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| bpr-package | R Documentation |
bpr: Fitting Bayesian Poisson Regression
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 (2021) arXiv:2109.09520.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.