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cff-version: 1.2.0
message: 'To cite package "diversityForest" in publications use:'
type: software
license: GPL-3.0-only
title: 'diversityForest: Innovative Complex Split Procedures in Random Forests Through
  Candidate Split Sampling'
version: 0.6.0
doi: 10.32614/CRAN.package.diversityForest
abstract: 'Implementation of three methods based on the diversity forest (DF) algorithm
  (Hornung, 2022, <https://doi.org/10.1007/s42979-021-00920-1>), a split-finding approach
  that enables complex split procedures in random forests. The package includes: 1.
  Interaction forests (IFs) (Hornung & Boulesteix, 2022, <https://doi.org/10.1016/j.csda.2022.107460>):
  Model quantitative and qualitative interaction effects using bivariable splitting.
  Come with the Effect Importance Measure (EIM), which can be used to identify variable
  pairs that have well-interpretable quantitative and qualitative interaction effects
  with high predictive relevance. 2. Two random forest-based variable importance measures
  (VIMs) for multi-class outcomes: the class-focused VIM, which ranks covariates by
  their ability to distinguish individual outcome classes from the others, and the
  discriminatory VIM, which measures overall covariate influence irrespective of class-specific
  relevance. 3. The basic form of diversity forests that uses conventional univariable,
  binary splitting (Hornung, 2022). Except for the multi-class VIMs, all methods support
  categorical, metric, and survival outcomes. The package includes visualization tools
  for interpreting the identified covariate effects. Built as a fork of the ''ranger''
  R package (main author: Marvin N. Wright), which implements random forests using
  an efficient C++ implementation.'
authors:
- family-names: Hornung
  given-names: Roman
  email: hornung@ibe.med.uni-muenchen.de
repository: https://cranhaven.r-universe.dev
commit: 6bede3bf608802cfc1440ac7e404813e7d955a31
date-released: '2025-05-03'
contact:
- family-names: Hornung
  given-names: Roman
  email: hornung@ibe.med.uni-muenchen.de