flevr
Flexible, Ensemble-Based Variable Selection with Potentially Missing Data
Perform variable selection in settings with possibly missing data based on extrinsic (algorithm-specific) and intrinsic (population-level) variable importance. Uses a Super Learner ensemble to estimate the underlying prediction functions that give rise to estimates of variable importance. For more information about the methods, please see Williamson and Huang (2023+) doi:10.48550/arXiv.2202.12989.
- Version0.0.4
- R version≥ 3.1.0
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release11/30/2023
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Brian D. Williamson
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- Imports9 packages
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