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corrRF: Clustered Random Forests for Optimal Prediction and Inference of Clustered Data
A clustered random forest algorithm for fitting random forests for data of independent clusters, that exhibit within cluster dependence. Details of the method can be found in Young and Buehlmann (2025) <doi:10.48550/arXiv.2503.12634>.
Getting started
Browse package contents
Package details |
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| Author | Elliot H. Young [aut, cre] |
| Maintainer | Elliot H. Young <ey244@cam.ac.uk> |
| License | GPL-3 |
| Version | 1.1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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