Rforestry
Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability
Provides fast implementations of Honest Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation. Soren R. Kunzel, Theo F. Saarinen, Edward W. Liu, Jasjeet S. Sekhon (2019) doi:10.48550/arXiv.1906.06463.
- Version0.10.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release03/25/2023
Documentation
Team
Theo Saarinen
Sören Künzel
Show author detailsRolesAuthorSimon Walter
Show author detailsRolesAuthorSam Antonyan
Show author detailsRolesAuthorEdward Liu
Show author detailsRolesAuthorAllen Tang
Show author detailsRolesAuthorJasjeet Sekhon
Show author detailsRolesAuthor
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- Imports5 packages
- Suggests4 packages
- Linking To3 packages
- Reverse Imports1 package