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As a suggestion, would it be possible to extend `rms` to also support polytomous (multinomial) logistic regression models?
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### Description
The regression model includes frequentist, but not (yet) Bayesian logistic/generalized linear models
### Purpose
Expand JASPs excellent Bayesian capabilities further beyond linear r…
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**Version 0.2**
Id | Models | Code | Test | Documentation
--- | ---------------------------------- | -------- |--------|--------------…
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This is underway in #10, with some final bells and whistles and checks still TODO. This issue is just so we can keep track of this outside of the PR.
adw96 updated
2 months ago
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Hi, many thanks to the excellent package.
I'm wondering if the package is availble for multinomial logistic regression (the response variable has more than 2 levels)? The family argument only prov…
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Multinomial categorical response variables are hard to interpret. Boosted regression trees are supposed to be more robust for categorical predictor variables, but are harder to interpret. GLMs are eas…
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It would be great to be able to use Econometrics.jl models in MLJ.
In particular, I would really like to see the Econometrics.jl multinomial logistic regression model available in MLJ.
cc: @Nosf…
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Hello,
I want to get a statestics for multinomial logistic regression, however I got this warnings :
![image](https://user-images.githubusercontent.com/13202562/41298452-b218385c-6e61-11e8-89c3…
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More as a feature request: do you think it might be possible to allow some form of regularisation in `mblogit` multinomial fits?
When one is dealing with sparse data, one now often encounters problem…
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I think I made some fundamental mistake in my codes. No matter what technique I use to train my model, it always stuck at 10%. It could be because I mess up with the way I extract data to matrices in …