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I've been running into an issue with imputed output in Zelig multilevel models. Here's a quick example based on one of the demos in the package:
```
data(voteincome)
z5
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### Title
Bayes on the Brain in Python
### Leaders
Kelly Garner
mastodon: [garner_theory@fediscience.org](https://fediscience.org/web/@garner_theory)
github: [kel-github](https://github.com…
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```
Ryan Adams
CS281: Advanced Machine Learning
Harvard University, Fall 2013
https://seas.harvard.edu/courses/cs281/
```
HT @rahuldave
Great outline, see also course textbooks in specific…
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Hi Jasper,
After using your package, I had an idea to merge it with something I worked on for my specialization thesis. I worked on Marginalized Multilevel Models (not to be confounded with Marginal …
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# Text predictors for #TidyTuesday chocolate ratings | Julia Silge
A data science blog
[https://juliasilge.com/blog/chocolate-ratings/](https://juliasilge.com/blog/chocolate-ratings/)
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Currently, the package only supports `lm() ` models. Will there be an update to support further regression models such as `plm()` for example?
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The simplest way, I think, would be to allow for vectors of dataframes and/or vectors of formulas in cf objects. For example, if we wanted a zero-inflated model simulator, we would only need one data…
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There's a problem on our main [openmx-features](https://openmx.ssri.psu.edu/openmx-features) page, namely most links are broken (they have openmx.psyc.virginia.edu urls)
Highlights the need for doc…
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Would this be able to pull large ODEs from model objects?
In particular, ones used in the MRGsolve package?
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A non-Bayesian version of IRT+SEM methods would be a widely useful new feature for `OpenMx`.
Such a feature is not available elsewhere (tmk). A new method developed by Yves Rosseel should be faste…