Hello,

I’d like to use the model from this recent paper by Piironen & Vehtari (https://arxiv.org/pdf/1707.01694.pdf), specifically the model in Appendix C2 for a logistic regression. I’ve adapted the script to my own data and to the model structure I’m interested in (which includes fixed effects and random effects for participants and trials).

What I seem to miss is where the following items come from:

```
data{
...
real <lower=0> scale_global; // scale for the half -t prior for tau
real <lower=1> nu_global; // degrees of freedom for the half -t priors for tau
real <lower=1> nu_local; // degrees of freedom for the half -t priors for lambdas
real <lower=0> slab_scale; // slab scale for the regularized horseshoe
real <lower=0> slab_df; // slab degrees of freedom for the regularized horseshoe
}
```

Since they appear in the data block I assume these variables are derived from the data set that I’m analyzing. But it’s not really clear to me where I should take them from.

Thanks in advance for your hints and ideas.