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unityForest
View on CRAN: Click
here
Download and install unityForest package within the R console
Install from CRAN:
install.packages("unityForest")
Install from Github:
library("remotes")
install_github("cran/unityForest") Install by package version:
library("remotes")
install_version("unityForest", "0.2.0") Attach the package and use:
library("unityForest")
Maintained by
Roman Hornung
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-30
Latest Update: 2026-01-30
Description:
Implementation of the unity forest (UFO) framework (Hornung & Hapfelmeier, 2026, <doi:10.48550/arXiv.2601.07003>). UFOs are a random forest variant designed to better take covariates with purely interaction-based effects into account, including interactions for which none of the involved covariates exhibits a marginal effect. While this framework tends to improve discrimination and predictive accuracy compared to standard random forests, it also facilitates the identification and interpretation of (marginal or interactive) effects: In addition to the UFO algorithm for tree construction, the package includes the unity variable importance measure (unity VIM), which quantifies covariate effects under the conditions in which they are strongest - either marginally or within subgroups defined by interactions - as well as covariate-representative tree roots (CRTRs) that provide interpretable visualizations of these conditions. Currently, only classification is supported. This package is a fork of the R package 'ranger' (main author: Marvin N. Wright), which implements random forests using an efficient C++ backend.
How to cite:
Roman Hornung (2026). unityForest: Improving Interaction Modelling and Interpretability in Random Forests. R package version 0.2.0, https://cran.r-project.org/web/packages/unityForest. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:57), 0.1.0 (2026-01-30 12:00)
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