Andrew Heiss • 5/9/2022

A guide to modeling outcomes that have lots of zeros with Bayesian hurdle lognormal and hurdle Gaussian regression models

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This article provides a detailed tutorial on using Bayesian hurdle regression models (lognormal and Gaussian) in R with brms and Stan to analyze outcomes with excess zeros, such as foreign aid data. It explains the two-process modeling approach and compares it to other methods like beta regression.

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#R #Bayesian Statistics #Brm
A guide to modeling outcomes that have lots of zeros with Bayesian hurdle lognormal and hurdle Gaussian regression models

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