_dev/to-do.md
In ngreifer/WeightIt: Weighting for Covariate Balance in Observational Studies
To Do
- Add M-estimation for coxph_weightit() (https://doi.org/10.1002/bimj.201700330)
- Create function for estimating treatment effects to remove marginaleffects as dependency (possibly in a new package)
- Implement imbalance tolerance for entropy balancing and IPT, possibly in a new package
- Implement ReiszBoost for GBM weighting
- Add kernel balancing
- Ensure g-computation SE is correct (unconditional variance)
- Add capabilities for estimating censoring weights (or a guide for hacking them)
ngreifer/WeightIt documentation built on March 6, 2025, 2:04 a.m.
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To Do
- Add M-estimation for coxph_weightit() (https://doi.org/10.1002/bimj.201700330)
- Create function for estimating treatment effects to remove marginaleffects as dependency (possibly in a new package)
- Implement imbalance tolerance for entropy balancing and IPT, possibly in a new package
- Implement ReiszBoost for GBM weighting
- Add kernel balancing
- Ensure g-computation SE is correct (unconditional variance)
- Add capabilities for estimating censoring weights (or a guide for hacking them)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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