Compute the marginal mean (via the emmeans package) for each combination of categorical covariates. When there is no numeric covariate, this outputs all the mean values fitted by the model.
## S3 method for class 'lmm' dummy.coef(object, drop = TRUE, ...)
[logical] should combinations of covariates that do no exist in the original dataset be removed?
arguments passed to
A data.frame containing the level for which the means have been computed (if more than one),
the estimated mean (
estimate), standard error (
se), degree of freedom (
df), and 95% confidence interval (
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