# Fitting multilevel generalized linear models

**URL:** <https://discourse.julialang.org/t/fitting-multilevel-generalized-linear-models/18350>\
**Category:** Statistics\
**Tags:** question\
**Created:** [December 5, 2018, 10:10pm UTC](https://discourse.julialang.org/t/fitting-multilevel-generalized-linear-models/18350 "2018-12-05T22:10:00Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![jbrea](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/jbrea/32/3879_2.png) [@jbrea](https://discourse.julialang.org/u/jbrea)\
**Post date:** [December 5, 2018, 10:10pm UTC](https://discourse.julialang.org/t/fitting-multilevel-generalized-linear-models/18350/1 "2018-12-05T22:10:00Z")

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Is there already a julia package to fit multilevel models, e.g. for repeated measures?

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**Author:** ![mkborregaard](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mkborregaard/32/556_2.png) [@mkborregaard](https://discourse.julialang.org/u/mkborregaard)\
**Post date:** [December 5, 2018, 11:32pm UTC](https://discourse.julialang.org/t/fitting-multilevel-generalized-linear-models/18350/2 "2018-12-05T23:32:54Z")

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There is MixedModels.jl.

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**Author:** ![jbrea](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/jbrea/32/3879_2.png) [@jbrea](https://discourse.julialang.org/u/jbrea)\
**Post date:** [December 6, 2018, 8:27am UTC](https://discourse.julialang.org/t/fitting-multilevel-generalized-linear-models/18350/3 "2018-12-06T08:27:21Z")

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Thanks a lot, @mkborregaard.

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**Author:** ![torkar](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/torkar/32/5646_2.png) [@torkar](https://discourse.julialang.org/u/torkar)\
**Post date:** [December 6, 2018, 1:56pm UTC](https://discourse.julialang.org/t/fitting-multilevel-generalized-linear-models/18350/4 "2018-12-06T13:56:55Z")

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You have [Turing.jl](https://github.com/TuringLang/Turing.jl) with different samplers that you could try out. If you want to follow a Bayesian approach, then one example can be found in [StatisticalRethinking](https://github.com/StanJulia/StatisticalRethinking.jl/blob/master/chapters/10/m10.4.jl).

Note: Turing.jl and the dependencies are fast moving targets so things change frequently. Also, you can’t run the sampling on multiple cores yet so it takes some time to sample compared to Stan.