This is the first of a series of posts on how to fit, interpret, and evaluate Bayesian logistic regression models using the brms package in R. This is a post written with Nils Karl Reimer.
This post provides a gentle introduction to fitting Bayesian logistic regression models using the brms package in R (Bürkner, 2017). Why use brms? Besides being an excellent package with lots of cool features, the specification of regression models in brms closely mirrors the syntax you may already use to fit regression models in R, such as with the lm() or glm() commands.

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