Chapter 12 Poisson & Negative Binomial Regression
Learning objectives:
- Apply Bayesian models to nonnegative counts
- Broaden scope for overdispersed data
# Load packages
library("bayesplot")
library("bayesrules")
library("broom.mixed")
library("patchwork")
library("rstanarm")
library("tidybayes")
library("tidyverse")
sessionInfo()## R version 4.3.1 (2023-06-16)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 22.04.2 LTS
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## BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK version 3.10.0
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## attached base packages:
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## other attached packages:
## [1] tidybayes_3.0.4 rstanarm_2.21.4 Rcpp_1.0.11
## [4] broom.mixed_0.2.9.4 patchwork_1.1.2 bayesplot_1.10.0
## [7] rstan_2.21.8 StanHeaders_2.26.27 latex2exp_0.9.6
## [10] gt_0.9.0 janitor_2.2.0 bayesrules_0.0.2
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