vimp
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).
- https://bdwilliamson.github.io/vimp/
- GitHub
- http://bdwilliamson.github.io/vimp/
- File a bug report
- vimp results
- vimp.pdf
- Version2.3.3
- R version≥ 3.1.0
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release08/28/2023
Documentation
Team
Brian D. Williamson
Jean Feng
Show author detailsRolesContributorCharlie Wolock
Show author detailsRolesContributorNoah Simon
Marco Carone
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- Depends1 package
- Imports10 packages
- Suggests16 packages
- Reverse Suggests2 packages