Windows 7

brms: development version 2.9.0

R version 3.6.0

RStudio version 1.1.442

Rtools version 3.5

Rstan version 2.19.1

StanHeaders version 2.18.1-9

This is a maximally simple mock dataset, designed to exemplify how varying-intercept logistic models work:

```
require(brms)
set.seed(2019)
d <- data.frame(id = letters[1:20], TrueLogit = rnorm(20), y = NA, n = round(runif(20, min = 5, max = 20)))
d$y <- round(plogis(d$TrueLogit) * d$n)
mix.b <- brm(y|trials(n) ~ (1|id), family = binomial("logit"), prior = prior(uniform(0,10), class = sd), data = d, iter = 11000)
Compiling the C++ model
```

Then, as soon as the model has compiled and sampling is due to begin, the R session crashes with the following pop-up error window:

R Session Aborted

R encountered a fatal error.

The session was terminated.

[Start New Session]

Interestingly, more complex models do tend to fit without crashing. The author of brms suggested that this might be a Stan problem rather than a brms one.