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 Documentation: Reference manual: corrRF.pdf Downloads: 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=corrRF to link to this page.
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