Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Support for quasibinomial, quasipoisson, negative binomial, multinomial & Dirichlet multinomial families? #569

Open
tomwenseleers opened this issue Sep 16, 2022 · 3 comments

Comments

@tomwenseleers
Copy link

tomwenseleers commented Sep 16, 2022

Are there any plans to also support additional GLM families like quasibinomial, quasipoisson, negative binomial, multinomial, Dirichlet-multinomial (overdispersed multinomial) & ordinal GLMs, some of which are now supported by e.g. h20? (Multinomial & Dirichlet multinomial I believe can be recast into a poisson or quasipoisson GLM via the Poisson trick, but that's computationally not efficient)

@MarcAntoineSchmidtQC
Copy link
Member

No official plans yet, but those are clearly within the scope of this package. The more demand there is for these distributions the more likely they are to be added by the core team or an external contributor.

@lbittarello
Copy link
Member

those are clearly within the scope of this package

The resulting models don't qualify as generalised linear models (because the distributions aren't part of the EDM family), so they aren't clearly within glum's scope, but we could add them nonetheless. :)

@dawidkopczyk
Copy link
Contributor

I believe we can deal with Negative Binomial first as it is part of EDM family and treat alpha or theta parameter of NegBin in the same way like tweedie variance power in current GLUM implementation.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

4 participants