Is there a way of getting “marginal effects” from a `glmer` object

Question

I am estimating random effects logit model using glmer and I would like to report Marginal Effects for the independent variables. For glm models, p

Answer 1

You could use the ggeffects-package (examples in the package-vignettes). So, for your code this might look like this:

library(ggeffects)
# dat is a data frame with marginal effects
dat <- ggpredict(cfelr, term = "rank")
plot(dat)

or you use, as Benjamin described, the You could use the sjPlot-package, using the plot_model() function with plot-type "pred" (this simply wraps the ggeffects package for marginal effect plots):

library(sjPlot)
plot_model(cfelr, type = "pred", term = "rank")