Package: corrRF
Type: Package
Title: Clustered Random Forests for Optimal Prediction and Inference of
        Clustered Data
Version: 1.1.0
Authors@R: person(given = c("Elliot", "H."), family = "Young", role = c("aut", "cre"), email = "ey244@cam.ac.uk")
Maintainer: Elliot H. Young <ey244@cam.ac.uk>
Description: 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>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
LinkingTo: Rcpp
Imports: Rcpp, rpart
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: yes
Packaged: 2026-09-19 09:33:03 UTC; root
Author: Elliot H. Young [aut, cre]
Repository: https://cran.r-universe.dev
Date/Publication: 2025-03-20 09:20:06 UTC
RemoteUrl: https://github.com/cran/corrRF
RemoteRef: HEAD
RemoteSha: 5760791784b3d1a23dac31513ddbbe9eec2246f6