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: 2025-03-18 17:40:09 UTC; elliotyoung
Author: Elliot H. Young [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-20 09:20:06 UTC
Built: R 4.3.3; x86_64-apple-darwin20; 2025-03-20 09:29:57 UTC; unix
Archs: corrRF.so.dSYM
