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One nice way to visualize mixed models is through a Hasse diagram, as in chapter 12 of [this book](http://users.stat.umn.edu/~gary/book/fcdae.pdf). We should make a tool to make these visuals easy in …
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I love the inclusion of Chapter 11 as comparing predictive models with inferential models is something that is not done nearly enough in my field. However, I think it would be worth noting somewhere i…
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Developing a resource that would consult the researcher on the statistical theory behind bivariate growth models.
Let's use this thread for Q/A on interpreting bivariate models, and Andrey will be …
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Please reply this thread for your updates on your bio on the website.
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Below is a to do list, where items near the top are considered more important
- [x] Add unit tests
- [x] Add other types of functional regression models
- [x] Update UI for regression functions s…
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This could be a first step towards the inclusion in [evaluate](https://huggingface.co/docs/evaluate/en/index).
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As the title implies, I'm interested in calculating marginal means from the results of my pooled multilevel models. If would be wonderful to either see this functionality added to the mitml package, o…
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# Proposal
In the existing notebook [A Primer on Bayesian Methods for Multilevel Modeling](https://www.pymc.io/projects/examples/en/latest/case_studies/multilevel_modeling.html), add an example at …
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https://docs.pymc.io/pymc-examples/examples/generalized_linear_models/GLM-hierarchical.html
Missing are the images of the hierarchical model that @fonnesbeck created. Not sure if he has an updated …
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Hi Rob,
It turns out that there is an ongoing [effort](https://github.com/JuliaStats/Distributions.jl/pull/1339) to add Cholesky factorization to the LKJ prior distribution. This will improve the …