# Beta and dirichlet regression for continuous proportion data

**URL:** <https://discourse.pymc.io/t/beta-and-dirichlet-regression-for-continuous-proportion-data/9505>\
**Category:** General\
**Tags:** bambi\
**Created:** [May 27, 2022, 4:37pm UTC](https://discourse.pymc.io/t/beta-and-dirichlet-regression-for-continuous-proportion-data/9505 "2022-05-27T16:37:33Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![cluhmann](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/cluhmann/32/3083_2.png) [@cluhmann](https://discourse.pymc.io/u/cluhmann)\
**Post date:** [May 27, 2022, 10:30pm UTC](https://discourse.pymc.io/t/beta-and-dirichlet-regression-for-continuous-proportion-data/9505/2 "2022-05-27T22:30:40Z")

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I will let one of the more bambi-savvy folks answer you actual question. However, I will note that there are several examples of this type of model built in pymc (rather than bambi). [This thread](https://discourse.pymc.io/t/multivariate-multinomial-logistic-regression/5242), and Alex’s chiming in with a pointer to [this notebook](https://github.com/aloctavodia/BAP/blob/master/extras/multinomial_ppcs.ipynb), as well as the discussion on [this old issue](https://github.com/pymc-devs/pymc/issues/1004). If you’re looking to get your hands dirty a bit, those may help you get going (and of course you can ask here if they aren’t exactly what you need).

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