Andrew Heiss • 11/29/2022

Marginal and conditional effects for GLMMs with {marginaleffects}

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This technical article explains the nuanced concepts of marginal and conditional effects within Generalized Linear Mixed Models (GLMMs). It addresses confusing statistical terminology and demonstrates how to use the R `marginaleffects` package to compute these effects, using examples with R packages like `lme4` and `brms` for hierarchical/multilevel modeling.

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#statistics #R #Regression
Marginal and conditional effects for GLMMs with {marginaleffects}

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