This project was completed as part of the Bayesian Multilevel Models course.
The objective was to apply Bayesian multilevel modeling using the brms package in R to a clustered dataset.
- Selecting and exploring a dataset with a meaningful grouping structure
- Formulating a clear research question
- Fitting multiple multilevel Bayesian models using
brms - Performing:
- Prior sensitivity analysis
- Posterior predictive checks
- Model comparison
- Interpreting key parameters in the context of the research question
My contribution includes dataset selection, Model 4 feature selection and implementation in Sections 2 - 5, and Section 6 Interpretation of parameters