summary error with random effects

[venpopov]

not sure why this gives me an error now when it worked before, but here it is:

fit <- fit_model(bmf(kappa ~ 1 + (1|ID)), OberauerLin_2017, mixture2p('dev_rad'), cores = 4, backend = 'cmdstanr')

Error in apply(include, 1, any) : dim(X) must have a positive length

[venpopov]

Looking at it it can't have worked before. I guess I didn't test it random effects. My bad.

[venpopov]

So, I did test it before, I'm not going crazy lol. But I tested it in a more complicated design with random slopes. It only fails if there is only one random effect parameter to display.