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>.
| Version: | 1.1.0 |
| Depends: | R (≥ 4.2.0) |
| Imports: | Rcpp, rpart |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2025-03-20 |
| DOI: | 10.32614/CRAN.package.corrRF |
| Author: | Elliot H. Young [aut, cre] |
| Maintainer: | Elliot H. Young <ey244 at cam.ac.uk> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | corrRF results |
| Reference manual: | corrRF.html , corrRF.pdf |
| Package source: | corrRF_1.1.0.tar.gz |
| Windows binaries: | r-devel: corrRF_1.1.0.zip, r-release: corrRF_1.1.0.zip, r-oldrel: corrRF_1.1.0.zip |
| macOS binaries: | r-release (arm64): corrRF_1.1.0.tgz, r-oldrel (arm64): corrRF_1.1.0.tgz, r-release (x86_64): corrRF_1.1.0.tgz, r-oldrel (x86_64): corrRF_1.1.0.tgz |
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