bpr-package {bpr} | R Documentation |
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 (2022) <doi:10.1080/10618600.2022.2123337>.
Index of help topics:
bpr-package Fitting Bayesian Poisson Regression mcmc_diagnostics MCMC Convergence Diagnostics merge_sim Merge Multiple Chains plot.poisreg Plot Trace and Distribution of Regression Parameters plot.posterior_check Graphical Posterior Predictive Checks posterior_predictive Compute Posterior Predictive Distribution sample_bpr Fitting Bayesian Poisson Regression summary.poisreg Summarizing Bayesian Poisson Regression Fit
Laura D'Angelo <laura.dangelo@live.com>
Laura D'Angelo