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Perform Inference on Algorithm-Agnostic Variable Importance
Calculate point estimates of and valid confidence intervals for nonparametric, algorithm-agnostic variable importance measures in high and low dimensions, using flexible estimators of the underlying regression functions. For more information about the methods, please see Williamson et al. (Biometrics, 2020), Williamson et al. (JASA, 2021), and Williamson and Feng (ICML, 2020).
- Version2.3.3
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release08/28/2023
Documentation
Team
Brian D. Williamson
Noah Simon
Show author detailsRolesThesis advisorMarco Carone
Jean Feng
Show author detailsRolesContributorCharlie Wolock
Show author detailsRolesContributor
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