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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "unityForest" in publications use:'
type: software
license: GPL-3.0-only
title: 'unityForest: Improving Interaction Modelling and Interpretability in Random
  Forests'
version: 0.2.0
doi: 10.32614/CRAN.package.unityForest
abstract: 'Implementation of the unity forest (UFO) framework (Hornung & Hapfelmeier,
  2026, <https://doi.org/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. Categorical and continuous outcomes are 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.'
authors:
- family-names: Hornung
  given-names: Roman
  email: hornung@ibe.med.uni-muenchen.de
repository: https://romanhornung.r-universe.dev
commit: 583427991cea7b7a37d8a9f69507e6c73cfa93cb
date-released: '2026-02-25'
contact:
- family-names: Hornung
  given-names: Roman
  email: hornung@ibe.med.uni-muenchen.de