Hi, Is anyone using generalized additive models in julia? I know I can link to pyGAM with PyCall or gam with RCall, but I find both packages don’t scale well. My current dataset is of the order 100million rows. I’m willing to collaborate if somewhen has some code lying around or if someone could …

[image] Ken-B: Is anyone using generalized additive models in julia? Did you find any help for this project? It would be indeed very useful to have a top GAM fitting package in Julia…

I talked to someone at JuliaCon who does this.

Well, David, that’s a bit vague… How did he or she look like? :smile: Best, Ken

You could take one of the splines packages to create basis functions, add them to a design matrix, and fit with MixedModels, with random effects acting as a smoothing penalty, or even using MCMC. Look at Tutorial in biostatistics: spline smoothing with linear mixed models..

Has there been any developments in this regard? (Couldn’t find any but thought it’s worth asking because sometimes it’s hard to find some libraries)

2 years later… people are still Googling R mgcv equivalent in Julia

Has anything been done in this regard still now? would like to discuss and contribute if someone is interested.

@shyamcody I haven’t seen this, I’d love to see this in Julia. Unfortunately I don’t have time to work on this rn…

One solution can be use the GAM provided by R. Find more at RDatasets · Julia Packages :melting_face:

Generalized additive models in julia?

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Ken-B September 6, 2018, 1:17pm 4

Well, David, that’s a bit vague… How did he or she look like?

Best,
Ken

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Generalized additive models in julia?

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