aorsf
Accelerated Oblique Random Forests
Fit, interpret, and compute predictions with oblique random forests. Includes support for partial dependence, variable importance, passing customized functions for variable importance and identification of linear combinations of features. Methods for the oblique random survival forest are described in Jaeger et al., (2023) doi:10.1080/10618600.2023.2231048.
- Version0.1.6
- R versionR (≥ 3.6)
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- aorsf citation info
- Last releaselast Thursday at 12:00 AM
Documentation
Team
Byron Jaeger
MaintainerShow author detailsMarvin Wright
Show author detailsRolesReviewerSawyer Welden
Show author detailsRolesContributorNicholas Pajewski
Show author detailsRolesContributorLukas Burk
Show author detailsRolesReviewerChristopher Jackson
Show author detailsRolesReviewer
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