# New Model+code - Ordered beta regression for binary responses plus proportions

**URL:** <https://discourse.mc-stan.org/t/new-model-code-ordered-beta-regression-for-binary-responses-plus-proportions/12773>\
**Category:** Modeling\
**Created:** [January 23, 2020, 10:16am UTC](https://discourse.mc-stan.org/t/new-model-code-ordered-beta-regression-for-binary-responses-plus-proportions/12773 "2020-01-23T10:16:20Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![lindeloev](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/lindeloev/32/4558_2.png) [@lindeloev](https://discourse.mc-stan.org/u/lindeloev)\
**Post date:** [February 3, 2020, 7:11am UTC](https://discourse.mc-stan.org/t/new-model-code-ordered-beta-regression-for-binary-responses-plus-proportions/12773/6 "2020-02-03T07:11:22Z")

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Looks promising, @saudiwin, thanks for sharing! I can’t look at it right now, but I agree with @matti that this would easily be worth a publication since IMO it’s a much more elegant solution to “extremes inflation” than other alternatives. Even if some other method has tighter fits (OLS, etc.), there mere fact that you can generate the inflations as _part of the ordered process_ rather than as an “independent” process is really strong.

It would be great with a solution that handles N cutpoints, i.e., an arbitrary number of response categories, which would render it a solution to [this thread](https://discourse.mc-stan.org/t/zero-one-inflated-beta-as-censored-beta/8468).

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