Package: corrRF 1.1.0

Elliot H. Young

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>.

Authors:Elliot H. Young [aut, cre]

corrRF_1.1.0.tar.gz
corrRF_1.1.0.zip(r-4.7-x86_64)corrRF_1.1.0.zip(r-4.7-arm64)corrRF_1.1.0.zip(r-4.6-x86_64)corrRF_1.1.0.zip(r-4.6-arm64)
corrRF_1.1.0.tar.gz(r-4.7-arm64)corrRF_1.1.0.tar.gz(r-4.7-x86_64)corrRF_1.1.0.tar.gz(r-4.6-arm64)corrRF_1.1.0.tar.gz(r-4.6-x86_64)
corrRF_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
corrRF/json (API)

# Install 'corrRF' in R:

install.packages('corrRF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 222 downloads 1 exports 2 dependencies

Last updated from:5760791784. Checks:10 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	111
linux-devel-x86_64	OK	135
source / vignettes	OK	173
linux-release-arm64	OK	110
linux-release-x86_64	OK	128
windows-devel-arm64	OK	179
windows-devel-x86_64	OK	98
windows-release-arm64	OK	186
windows-release-x86_64	OK	94
wasm-release	OK	117