stan-dev / stan-dev/priorsense
priorsense with high Pareto k
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- R
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Description
Hi,
I have a model with high Pareto k, at least partially due to have random effects at the level of the log_lik values. What's the implication for power scaling here? When I do powerscale_plot_dens() I see the warnings for likelihood scaling, but not for prior scaling.
Cheers,
Matt
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 by reproducing the reported behavior with powerscale_plot_dens() using a model whose log_lik values include random effects and have high Pareto k. Trace how warnings are produced for likelihood and prior scaling, then determine whether prior-scaling warnings are expected; done means the behavior is clarified and any needed change is covered by a regression test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100