Packages mlmtools and mind
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- r
- Domain
- documentation
Research direction
Start by reviewing the MixedModels task view and the linked CRAN pages for mlmtools and mind. Determine whether each package belongs in the task view, where mlmtools should be categorized, and how its overlap with Official Statistics & Survey Statistics should be handled; done means the placement decision is reflected in the task view.
Written by the indexing model from the issue text.
Description
Package mlmtools definitely seems relevant, although it provides a bit of a mix of different things (e.g., some pre-processing stuff, $R^2$, some visualizations, some model assumption checks), so not quite sure where it would fit. We also don't have anything related to visualization in the first place. Maybe Model diagnostics and summary statistics could be expanded to Model diagnostics, summary statistics, and visualization.
Package mind seems to be related to small area estimation, which is already covered by the Official Statistics & Survey Statistics task view, but that of course does overlap thematically with mixed-effects models. Not sure how we should handle that.
- Dominant language
- R
- Stars
- 31
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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