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Implement multi-category outcome models #60
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Would it be possible to extend this to support clm as well as polr? Perhaps using something similar to the clm.to.polr function in the effects package? Happy to have a go at this myself if you're open to it. This is a really useful package, thanks for providing it! |
@dnbarron Yes, definitely. Basically once a model class is supported in prediction (see TODO list), it is then possible to implement it in margins, so it's just a matter of time. I'm open to PRs to add functionality but I do not intend to use the effects package as a dependency here. |
Consolidating this issue to: #101 |
prediction now supports multi-category outcome models (of various kinds) and offers the new
category
argument to specify which level of an outcome a la Stata:So it should now be possible to cascade the
category
argument up to some newmargins()
methods and implement Stata-like interpretations.The text was updated successfully, but these errors were encountered: