Return frequentist MMRM model object
Nobody has claimed this yet.
- Dominant language
- R
- Stars
- 21
- Forks
- 12
- PR merge metrics
- No merged PRs in 30d
Description
Hi @wolbersm ,
We have been asked a few times by Paul to add return the model object of the MMRM fit for the bootstrap methods for diagnostic / residual purposes.
Talking to @nociale our current proposal would be that we return the MMRM fit to the original dataset (only) for the condmean jackknife + bootstrap methods, for all other methods (bayesian, approx bayes, blmi) we would carry on returning nothing.
What do you think ?
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 locating the MMRM fit and the condmean jackknife and bootstrap methods in the rbmi package. Determine how those methods currently return results and how Bayesian, approximate Bayesian, and BLMI methods differ. Done means agreeing on the returned original-dataset MMRM object and its behavior across these methods, then covering that contract with tests.
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
- 20/100