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# CITATION.cff 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 "harf" in publications use:'
type: software
license: GPL-3.0-only
title: 'harf: Adversarial Random Forests for Omics Synthesis'
version: 0.1.0
abstract: We extend Adversarial Random Forests to a high-dimensional framework. The
  method partitions the feature space into regions where the assumption of feature
  independence within tree leaves is more likely to hold. Region-specific adversarial
  random forest models are trained to capture local dependence structures, while an
  additional adversarial random forest is fitted to a meta-space representation to
  model dependencies between regions. New observations are generated by first sampling
  from the meta-space model and then conditionally sampling from each region-specific
  model. The proposed methodology is described in Fouodo et al. (2026) <https://doi.org/10.64898/2026.09.09.750490>.
authors:
- family-names: Fouodo
  given-names: Cesaire J. K.
  email: fouodo@leibniz-bips.de
- family-names: Kapar
  given-names: Jan
- family-names: Wright
  given-names: Marvin N.
repository: https://cran.r-universe.dev
repository-code: https://github.com/bips-hb/harf
commit: cb9edaed56a0e616b3b8cc291bd0bbb152c92411
url: https://bips-hb.github.io/harf/
date-released: '2026-09-28'
contact:
- family-names: Fouodo
  given-names: Cesaire J. K.
  email: fouodo@leibniz-bips.de