tidymodels / tidymodels/multilevelmod
New Model Request: a spatial multilevel model
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- Dominant language
- R
- Stars
- 74
- Forks
- 6
- Avg merge
- 1h 53m
- Merged PRs (30d)
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Description
I am interested in fitting a spatial multilevel model using the tidymodels framework. In the Spatial Regression chapter of Spatial Data Science by Edzer Pebesma and Roger Bivand, the authors demonstrate how this can be done using a dataset of census tracts and air pollution model output zones in Boston. They then demonstrate how to fit a spatial mixed model using the following packages: hglm, HSAR, INLA, R2BayesX and mgcv.
Please consider adding support for one of the above models.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the Spatial Regression chapter of Spatial Data Science and compare the referenced hglm, HSAR, INLA, R2BayesX, and mgcv packages. The issue does not select a model, identify files or tests, or define acceptance criteria, so the supported package and what counts as done must be clarified first.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100