Week 6

Day 1

Today

• Lecture: Bayesian Inference

• Lecture Code: bayesian.R

Assigned

• Ellison 2004.

• Background Reading (not required):

  • Hobbs and Hooten Ch5.
  • Fieberg Chapter 11.
  • Fieberg Chapter 12.

Day 2 (lab)

Today

• Lecture: Continue with: Bayesian Inference

• Downloads: Files (9/27)

• Install R packages:

# CRAN packages
install.packages(c("rjags","bayesplot","rstanarm"))

• Install External Software Program JAGS

Assigned

• Bayes Quiz on Canvas

• Background Reading (not required):
  • Kurz, 2023; Doing Bayesian Data Analysis in brms and the tidyverse