- Operating System: Win10 Enterprise 64bit
- brms Version: 2.9.0
Couple of noob questions about usage of brms:
I would like to know whether predicted points in marginal plots are “significantly” different from each other. Can “marginal_effects” return the precise overlap/difference of posterior distributions instead of just showing credible intervals (e.g., at 95%)? This is illustrated in the Figure 2 taken from “Ordinal models of psychology” paper. If not, how can I compute such overlaps? If overlap is, say below 5%, can we conclude that there is significant statistical marginal difference between groups, does it make sense?
Model “fit_sc4” in paper “Ordinal models of psychology” (page 88) is an example of an ordinal model with unequal response variance with formula
“bf(rating ~ 1 + belief) + lf(disc ~ 0 + belief, cmc = FALSE)”
If we also include random effects “subject”, would this formula simply become
“bf(rating ~ 1 + belief + (1|subject)) + lf(disc ~ 0 + belief + (1|subject), cmc = FALSE)”`