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RegEnRF  

Regression-Enhanced Random Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RegEnRF", "1.0.0")



Attach the package and use:
library("RegEnRF")
Maintained by
Umberto Minora
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-22
Latest Update: 2025-12-22
Description:
A novel generalized Random Forest method, that can improve on RFs by borrowing the strength of penalized parametric regression. Based on Zhang et al. (2019) <doi:10.48550/arXiv.1904.10416>.
How to cite:
Umberto Minora (2025). RegEnRF: Regression-Enhanced Random Forests. R package version 1.0.0, https://cran.r-project.org/web/packages/RegEnRF. Accessed 10 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited RegEnRF R package
View RegEnRF citation profile
Other R packages that RegEnRF depends, imports, suggests or enhances
Complete documentation for RegEnRF
Functions, R codes and Examples using the RegEnRF R package
Full RegEnRF package functions and examples
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