https://github.com/palday/economics2024
An introduction to the MixedModels.jl ecosystem in Julia
https://github.com/palday/economics2024
julia mixed-effects-models mixed-models
Last synced: 3 months ago
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An introduction to the MixedModels.jl ecosystem in Julia
- Host: GitHub
- URL: https://github.com/palday/economics2024
- Owner: palday
- License: bsd-2-clause
- Created: 2024-01-15T23:49:21.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-04T22:49:01.000Z (11 months ago)
- Last Synced: 2025-03-01T05:11:49.405Z (3 months ago)
- Topics: julia, mixed-effects-models, mixed-models
- Language: Julia
- Homepage: https://palday.github.io/economics2024/
- Size: 11.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Mixed Models in Julia
This repository uses [Quarto](https://quarto.org) with the Julia code execution supplied by [QuartoNotebookRunner.jl](https://github.com/PumasAI/QuartoNotebookRunner.jl/), which requires Quarto 1.5+.
As of early May 2024, Quarto 1.5 is only available as a preview release, which you'll need to [download from GitHub](https://github.com/quarto-dev/quarto-cli/releases). Under each release's "Assets", you can find platform-specific installers.
```sh
~/economics2024$ julia
julia> using Pkg
julia> Pkg.activate(".")
Activating project at `~/economics2024`
julia> Pkg.instantiate()
< lots of output >
julia> exit()
~/economics2024$ quarto preview
< lots of output >
```
## The MovieLens Data
A number of sample datasets from the book [Embrace Uncertainty]() are downloaded on demand for examples. The MovieLens data in particular is downloaded as needed from the MovieLens repository due to [restrictions on separate distribution](https://files.grouplens.org/datasets/movielens/ml-25m-README.html). The data is used only for education purposes and must not be used for commercial purposes.