# Generalized additive models in julia?

**URL:** https://discourse.julialang.org/t/generalized-additive-models-in-julia/10041
**Category:** Statistics
**Created:** [March 28, 2018, 9:51pm UTC](https://discourse.julialang.org/t/generalized-additive-models-in-julia/10041 "2018-03-28T21:51:28Z")
**Posts on this page:** 1
**Showing post:** 5

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### Author: ![Slava](https://avatars.discourse-cdn.com/v4/letter/s/b487fb/32.png) [@Slava](https://discourse.julialang.org/u/Slava)
#### Post date: [September 8, 2018, 10:09pm UTC](https://discourse.julialang.org/t/generalized-additive-models-in-julia/10041/5 "2018-09-08T22:09:26Z")

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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._.

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