StatRethink

This repository holds R-Markdown documents that are created for the course based on Richard McElreath's book "Statistical Rethinking". link

Organisation

See here for info about course organisation, credit points and package installations.

Background material and lectures

1. Bayesian updating

2. Conditional probability & Bayes rule

3. Conditional probability & posterior samples

4. A: Linear regression and splines

5. B: Linear regression grid search

6. Multiple Regression and intro to DAGs

7. Forks, mediators & colliders: Chosing covariates with DAGs

8. A: Model fit and deviance

9. B: Cross validation and model comparison

10. Interactions

11. MCMC and chain diagnostics

12. A: Generalized linear model and logistic regression

13. B: Ordered logistic regression

14. Multilevel or hierarchical regression models

15. Example analysis with brms