Sampling problems in ordinal model

[rok_cesnovar]

Are you running rstan 2.19.2?

That version has a bug in the vectorized ordered_logistic_lpmf
There is a temporary solution in the second post

Ordered_logistic_lpmf

Starting from the example of Bürkner & Vuorre (Ordinal Regression Modells in Psychology: A Tutorial)page 12, I use ``stancode(fit_sc1)``` to retrieve the following model: fit_sc1 <- brm(formula = rating ~ 1+ belief, data = stemcell, family = cumulative()) to understand what’s going on in Ordinal Models. Messing with the code I changed for (n in 1:N) { target += ordered_logistic_lpmf(Y[n]| mu[n], temp_Intercept); } to target += ordered_logistic_lpmf(Y| mu, temp_Intercept); to try th…

Seems like the first thing to look at. Not sure if that could be the culprit for the RAM usage.