Random intercepts with high-cardinal categorical feature?

Interesting question and I’m interested to hear other’s thoughts too.

It’s certainly possible to specify models with high dimensionality - you just have to wait longer - but it might help to consider your use-case a little more before diving in. I could see it being useful to set a baseline for a device in the case that you take repeated measurements over time - is that your use-case and if so do you expect the variance between devices to be substantial?

Cheers