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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 "YARF" in publications use:'
type: software
license: GPL-3.0-only
title: 'YARF: Yet Another Random Forests Package'
version: 1.2.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.YARF
abstract: A customizable, asynchronous, and parallelized random forest implementation.
  Supports user-defined splitting and aggregation behavior, missingness incorporated
  in attributes, and random-forest-based imputation.
authors:
- family-names: Kapelner
  given-names: Adam
  email: kapelner@qc.cuny.edu
  orcid: https://orcid.org/0000-0001-5985-6792
- family-names: Olson
  given-names: Matt
- family-names: Patil
  given-names: Abhinav
preferred-citation:
  type: manual
  title: 'YARF: Yet Another Random Forests Package'
  authors:
  - family-names: Kapelner
    given-names: Adam
    orcid: https://orcid.org/0000-0001-5985-6792
    email: kapelner@qc.cuny.edu
  - family-names: Olson
    given-names: Matt
  - family-names: Patil
    given-names: Abhinav
  year: '2026'
  notes: R package version 1.2.0
  url: https://github.com/kapelner/YARF
repository: https://kapelner.r-universe.dev
repository-code: https://github.com/kapelner/YARF
commit: 6677cdf14228609a67a334a7ace6f0792b1526c6
url: https://kapelner.github.io/YARF/
date-released: '2026-09-03'
contact:
- family-names: Kapelner
  given-names: Adam
  email: kapelner@qc.cuny.edu
  orcid: https://orcid.org/0000-0001-5985-6792
keywords:
- random-forest
- decision-trees
- ensemble-learning
- machine-learning
- statistical-learning
- supervised-learning
- classification
- regression
- variable-importance
- interaction-detection
- proximity-analysis
- out-of-bag
- missing-data
- missing-data-imputation
- custom-split-rules
- asynchronous-computing
- parallel-computing
- Java
- JavaScript
- r-package