Bayesian generalized linear mixed models with brms: Bodo Winter LADAL Webinar 2022
Link to Video Here
Who is it for: Anyone familiar with generalised linear models, who wants to learn their Bayesian implementation. This approach is beneficial when working with data with non-continuous outcome variables (e.g. dichotomous or nominal outcomes)
Why we love it: The lecturer presents a simplified workflow then applies it to examples from linguistic data. Code snippets from the brms (Bayesian Regression Models usign ‘Stan’) R package make it easier to practice these concepts on your own data.
Advanced Quantitative Toolkit