Partial Dependence Plots for Linear Mixed-Effects Models? I am currently using R and am trying to figure out a way to use partial dependence plots for mixed-effects models. I have heard that PDP plots are model-agnostic, but I have never heard of any PDP for them. Can such a thing be done?
Any help at all would be greatly appreciated!

PDPs would be effectively estimated marginal means plots with linear (mixed effects) models. Recommend looking into packages like emmeans, ggeffects, or effect in R to estimate and subsequently visualize the effect of a predictor in a linear mixed model.
