Comments (3)
Hi michael -
Sorry I just saw this. Don't worry, development on the project is very active. I will have a major release (v. 1.0) within the next two months. It will have the ability to do within-chain parallelization to fit much bigger models.
Because the data are entered in long-form, you can code the covariates however you want - they can vary by person, by bill (item), by time point, etc. In your case, I would probably add a dummy variable for that one person and then interact the covariates with that dummy variable. You would then have a baseline (all of the legislators) plus an interaction effect specific to that person.
I'll also have better covariate plotting in the next version. Unfortunately, a lot of my time is currently taken up with a coronavirus-related project :(, but getting this out is a top priority.
from idealstan.
That's great to hear! And thanks for the recommendation, I will try out the dummy interaction. I might open a few other issues to suggest some features that I thought would benefit the package, although you may have already had these in mind for the next release.
from idealstan.
Sure thing! I'm happy to hear your suggestions.
from idealstan.
Related Issues (20)
- parse_quosure() was soft-deprecated in rlang 0.2.0 HOT 2
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from idealstan.