Dear community,

I wonder why an ordinal mixed effect model in `brms`

does not have thresholds in `emmeans/emmip`

? In my case, the outcome is some mean probability over all thresholds, i.e. response range. Is it possible to get the marginal probability for each threshold?

For example, in the package `ordinal`

all thresholds are coded as “cut” variables and can be identified in `ref_grid`

in `emmeans`

example. How can I identify thresholds in `emmeans`

providing my model is fitted in `brms`

? Maybe I miss some details in coding?

Note: I do not use `conditional_effects`

here, as I would like to estimate marginal mean at different offset values and `emmip`

is more convenient for this.

The fitted model is as following:

```
f = brmsformula(count1~ ba_sqrt + dbh_log + species.p + species.m + status.p +
position.m + y + offset(log(count_dead)) + (1+y|subplot_id), center=TRUE) +
lf(disc ~ 0 + y + status.p + species.p, cmc = FALSE)
fit=brm(f, data=d1, family=cratio(link="probit"), prior=p,
save_pars=save_pars(all = TRUE), cores = 2, iter = 800 + 800,
warmup = 800, chains = 1, seed=123,
sample_prior="yes", silent=TRUE, open_progress=FALSE,
control = list(adapt_delta = 0.85, max_treedepth = 10))
# getting the grid in emmeans:
con = ref_grid(fit, at = list(status.p = "alive", ba_sqrt=1.41,
dbh_log=seq(1.6, 3, by=0.1), bias.adj = TRUE))
# plotting
emmip(con, species.p ~ dbh_log | position.m, type="response",
offset = log(4)) + theme(legend.position = "top") +
geom_ribbon(data=b, aes(x=dbh_log, y=yvar, ymin=LCL, ymax=UCL, fill=species.p), alpha=0.25, inherit.aes = FALSE) +
geom_line(data=b, aes(x=dbh_log, y=yvar, color=species.p), size=1, inherit.aes = FALSE)+ labs(x="log(dbh)
# outcome:
species.p dbh_log position.m yvar LCL UCL
1 Acer platanoides 1.6 adjacent_dead 0.6778162 0.5495729 0.7993685
2 Acer pseudoplatanus 1.6 adjacent_dead 0.7822773 0.6304033 0.8995334
3 Fagus sylvatica 1.6 adjacent_dead 0.8808129 0.7851305 0.9499130
4 Ulmus glabra 1.6 adjacent_dead 0.5135319 0.3046328 0.6891265
```

I would appreciate any idea or hints very much.

- Operating System: Windows 10
- brms Version: 2.14.0