ggeffects 0.8.0 now on CRAN: marginal effects for regression models #rstats

#artificialintelligence 

I'm happy to announce that version 0.8.0 of my ggeffects-package is on CRAN now. The update has fixed some bugs from the previous version and comes along with many new features or improvements. One major part that was addressed in the latest version are fixed and improvements for mixed models, especially zero-inflated mixed models (fitted with the glmmTMB-package). In this post, I want to demonstrate the different options to calculate and visualize marginal effects from mixed models. Basically, the type of predictions, i.e. whether to account for the uncertainty of random effects or not, can be set with the type-argument. The default, type "fe", means that predictions are on the population-level and do not account for the random effect variances.

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