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Become a sponsor to Phillip Alday

Howdy! I'm Phillip, a neuroscientist and sometimes applied statistician.

I am one of the authors of MixedModels.jl , a high-performance Julia package for fitting mixed models. If you've ever used lme4 in R and wished it were faster, then MixedModels.jl is just what you're looking for. Speaking of lme4, I'm also the author of JellyMe4.jl, a Julia package that allows you to move models back and forth between R and Julia so that you can have the speed of MixedModels.jl without leaving your favorite R packages behind. I also contribute more broadly to the JuliaStats ecosystem and a few other packages around mixed models. In the past, you could find me slinging Python code for neuroscience (e.g., MNE-Python) as well, but nowadays, you're more likely to find me working on Julia-Python interoperability by writing Julia wrappers around Python tools.

These days, most of my open source contributions are in my spare time. Sponsoring me is a really great way to help me keep up with contributions for important projects.

Thanks and have a great day!

Featured work

  1. JuliaStats/MixedModels.jl

    A Julia package for fitting (statistical) mixed-effects models

    Julia 397
  2. palday/JellyMe4.jl

    RCall support for MixedModels.jl and lme4

    Julia 12
  3. palday/MixedModelsMakie.jl

    Plotting functionality for MixedModels.jl implemented in Makie

    Julia 9
  4. palday/MixedModelsExtras.jl

    Extra non essential functionality for MixedModels.jl

    Julia 6
  5. beacon-biosignals/Effects.jl

    Effects Prediction for Regression Models

    Julia 19

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