Add support for censored hierarchical models
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- Dominant language
- R
- Stars
- 401
- Forks
- 136
- PR merge metrics
- No merged PRs in 30d
Description
Summary:
Measurements of chemical concentration are censored due to limits of detection. Hierarchical modeling allows the incorporation of spatial and temporal linkages in sampling along with analysis of detection limits. Although there are many resources for building models, having a pre-compiled model for censored distributions that could be fitted with random effects would be very handy. It may be straightforward to add this functionality to stan.glmer (glmer.censored).
RStanARM Version:
2.32.1
R Version:
4.4.1
Contributor guide
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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.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the existing stan.glmer entry point and the proposed glmer.censored functionality described in the issue. Determine the supported censored distributions, random-effects interface, and fitting behavior needed for a pre-compiled hierarchical model; done means the scope and expected model API are defined and implemented with validation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100