Course n°02
Introduction to brms, linear regression
To be done ahead of this course
- Check previous courses.
- (optional) Read chapters 4-6 from Statistical Rethinking.
Slides
Slides for this course are available below. You can navigate these sides using the ← and → keys. Pressing m will display all commands you can use (e.g., f to switch to full screen mode). You can also download a PDF version of these slides or the R code associated with these slides by clicking on the buttons below.
Tip
See all revealjs commands by pressing m then h.
To go further
- Heiss, A. (2022). Visualizing the differences between Bayesian posterior predictions, linear predictions, and the expectation of posterior predictions. Blogpost available at https://www.andrewheiss.com/blog/2022/09/26/guide-visualizing-types-posteriors/.
- McElreath, R. (2021). Science Before Statistics: Causal Inference. Conference recording available at https://www.youtube.com/watch?v=KNPYUVmY3NM.