Bootstrapping functionality or interface with bootstrap packages
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- R
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Description
Hi all.
I have started using the mmrm package in connection with some simulation studies I am performing. I am fitting a model along the lines of :
mmrm.fit <- mmrm(
formula = CFB ~ treatweek.factor + obs.baselineweek.factor + us(week.factor | subj.id),
data = df[planned.week != 0]
)
Based on this model I will derive a complex quantity, and would like to employ bootstrapping techniques to get at confidence interval. I have been playing around with the lmeresampler pacakge, however that only works on lme4 and nlme objects.
Have you considered to implement methods for bootstrapping, og teaming up with the lmeresampler-folks making their package work on mmrm objects?
Kr, Henrik
Originally posted by @henrikibster in https://github.com/openpharma/mmrm/discussions/314#discussioncomment-7577466
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Research direction
Review the requested bootstrapping support for mmrm fits and compare it with lmeresampler's support for lme4 and nlme objects. Define the desired interface and confidence-interval behavior for a derived quantity, then establish concrete acceptance criteria; no repository files or tests are identified in the issue.
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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