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bpr (version 1.0.8)

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 (2023) .

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Version

Install

install.packages('bpr')

Monthly Downloads

360

Version

1.0.8

License

GPL (>= 2)

Maintainer

Laura D'Angelo

Last Published

April 16th, 2024

Functions in bpr (1.0.8)

plot.posterior_check

Graphical Posterior Predictive Checks
plot.poisreg

Plot Trace and Distribution of Regression Parameters
sample_bpr

Fitting Bayesian Poisson Regression
posterior_predictive

Compute Posterior Predictive Distribution
bpr-package

bpr: Fitting Bayesian Poisson Regression
mcmc_diagnostics

MCMC Convergence Diagnostics
summary.poisreg

Summarizing Bayesian Poisson Regression Fit
merge_sim

Merge Multiple Chains