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corrRF  

Clustered Random Forests for Optimal Prediction and Inference of Clustered Data
View on CRAN: Click here


Download and install corrRF package within the R console
Install from CRAN:
install.packages("corrRF")

Install from Github:
library("remotes")
install_github("cran/corrRF")

Install by package version:
library("remotes")
install_version("corrRF", "1.1.0")



Attach the package and use:
library("corrRF")
Maintained by
Elliot H. Young
[Scholar Profile | Author Map]
First Published: 2025-03-20
Latest Update: 2025-03-20
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>.
How to cite:
Elliot H. Young (2025). corrRF: Clustered Random Forests for Optimal Prediction and Inference of Clustered Data. R package version 1.1.0, https://cran.r-project.org/web/packages/corrRF. Accessed 05 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited corrRF R package
View corrRF citation profile
Other R packages that corrRF depends, imports, suggests or enhances
Complete documentation for corrRF
Functions, R codes and Examples using the corrRF R package
Full corrRF package functions and examples
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