Are tails of gamma prior on tau^2 in decov prior too long?
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- Dominant language
- R
- Stars
- 401
- Forks
- 136
- PR merge metrics
- No merged PRs in 30d
Description
Had a conversation with @lauken13 and for e.g., logistic regression or other models where we may not want a long-tailed prior on the sigmas for the "random effects" it could be nice to allow a half-normal or something like that instead of requiring a gamma distribution on tau^2 in the decov prior.
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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.
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Research direction
No files, tests, or entry points are named. Start by locating the decov prior implementation and its existing tests or documentation, then determine how tau^2 is parameterized and where prior choices are configured; done would mean a supported alternative to the gamma distribution, with updated coverage and guidance.
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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
- 25/100