Use category_groups to group categories together. The function asks the user to choose how to group
the categories together, in order to aid interpretation with many category models (e.g. ordinal or multinomial models).
Usage
posterior_means(
model = burn_flag,
xvar = "presvote_trump_2020",
mvar = "prepost",
xval = seq(0, 1),
mval = c(0, 1)
)
Arguments
- model
brms model
- xvar
independent variable
- mvar
moderator variable
- xrange
values of xvar
- mrange
values of mvar
Value
R data frame with posterior predictions for each category, across levels of xvar, all other variables held at mean.
