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)
- Version0.1.5
- R version≥ 3.6
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?Yes
- aorsf citation info
- Last release05/30/2024
Documentation
Team
Byron Jaeger
Nicholas Pajewski
Show author detailsRolesContributorSawyer Welden
Show author detailsRolesContributorChristopher Jackson
Show author detailsRolesReviewerMarvin Wright
Show author detailsRolesReviewerLukas Burk
Show author detailsRolesReviewer
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- Depends1 package
- Imports6 packages
- Suggests10 packages
- Linking To2 packages
- Reverse Imports1 package
- Reverse Suggests2 packages