Andrew Heiss • 11/10/2021

A guide to correctly calculating posterior predictions and average marginal effects with multilievel Bayesian models

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This article provides a detailed tutorial on correctly incorporating random effects when calculating posterior predictions and average marginal effects from multilevel Bayesian models. It focuses on beta regression models in R using the brms package, addressing common pitfalls in statistical interpretation for data analysis and visualization.

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#Bayesian Statistics #Multilevel Models #Brm
A guide to correctly calculating posterior predictions and average marginal effects with multilievel Bayesian models

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