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The motivation behind this idea is the `depression_unemployment` data. Although it was only used by Singer and Willett in chapter 5 to demonstrate the multilevel model for change, the data contains in…
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write function to easily incorporate level-2 groupings
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Lavaan and Mplus models are available at the [online appendix](http://levente.littvay.hu/msem/). I estimate 1-2 days of work to translate these models to OpenMx. It might be worth exploring umx's lava…
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#### Is your feature request related to a problem? Please describe
I'd like to run this R code in python statsmodels:
```R
model
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#### Summary:
Hello, I was hoping to see if `ranef()` is available in any branch (or will be soon) for multilevel `stan_surv` objects? The documentation states that it is there but calling it errors …
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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 am interested in fitting a spatial multilevel model using the tidymodels framework. In the [Spatial Regression](https://r-spatial.org/book/16-SpatialRegression.html) chapter of [_Spatial Data Scienc…
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* Enhancement: add the ability to check assumptions of mixed models and quantify the performance of models
* Purpose: improve transparency of analysis
* Use-case: mixed models are becoming increasin…
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I suggest that the starting point is what Cassandra, Hu, and I used in https://github.com/fsolt/dcpo_dem_mood, but an alternative is go with `brms` as in https://github.com/fsolt/dcpo_macrointerest. …
fsolt updated
3 months ago
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Love the book! Any plans to include a section on categorical centering?
Yaremych, H. E., Preacher, K. J., & Hedeker, D. (2023). Centering categorical predictors in multilevel models: Best practice…