paul-buerkner / brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
https://paul-buerkner.github.io/brms/
GNU General Public License v2.0
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Implement zero inflated multinomial distribution #1567

Open ABWerks opened 1 year ago

ABWerks commented 1 year ago

Multinomial regression is possible in brms using the multinomial family and it works very well (thank you)! However there is currently no way to account for 0 count across all possible choices. This happens often when modeling clinic use in health care settings where patients have the opportunity to engage in care across multiple modalities (in person, telehealth, nurse hotline, etc..) in any year, but often don't visit at all. Having the ability to account for the latent probability of no visits would (I think better) model the ebb and flow of care. Koslovsky has done some work here and I have used that package, but it lacks the flexibility of brms: Paper Repo

paul-buerkner commented 1 year ago

Thanks! I will take a look when I have time :-)