Main site (data, scripts, etc): https://github.com/adamtclark/BayesModellingUG
Lectures:
Lecture 00: Introduction to the course
Lecture 01: Using priors in your analyses
Lecture 02: Introduction to mixed effects models in nlme
Dataset 2 for homework (you'll need to download this file using the "download" button on the top right side of the window)
Lecture 03: Models with random slopes and intercepts
Lecture 04: Nested random effect structures
Lecture 05: Mixed effects models in lmer and brms
Lecture 06: Common confounders in causal inference
Lecture 07: Dealing with correlated predictors
The link below goes to a forum where I will leave messages about the course - you can also use it to discuss ideas and questions with me, and among yourselves.