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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 "RFCCA" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'RFCCA: Random Forest with Canonical Correlation Analysis'
version: 2.0.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.RFCCA
abstract: Random Forest with Canonical Correlation Analysis (RFCCA) is a random forest
  method for estimating the canonical correlations between two sets of variables depending
  on the subject-related covariates. The trees are built with a splitting rule specifically
  designed to partition the data to maximize the canonical correlation heterogeneity
  between child nodes. The method is described in Alakus et al. (2021) <https://doi.org/10.1093/bioinformatics/btab158>.
  'RFCCA' uses 'randomForestSRC' package (Ishwaran and Kogalur, 2020) by freezing
  at the version 2.9.3. The custom splitting rule feature is utilised to apply the
  proposed splitting rule. The 'randomForestSRC' package implements 'OpenMP' by default,
  contingent upon the support provided by the target architecture and operating system.
  In this package, 'LAPACK' and 'BLAS' libraries are used for matrix decompositions.
authors:
- family-names: Alakus
  given-names: Cansu
  email: cansu.alakus@hec.ca
- family-names: Larocque
  given-names: Denis
  email: denis.larocque@hec.ca
- family-names: Labbe
  given-names: Aurelie
  email: aurelie.labbe@hec.ca
preferred-citation:
  type: article
  title: Conditional canonical correlation estimation based on covariates with random
    forests
  authors:
  - family-names: Alakus
    given-names: Cansu
    email: cansu.alakus@hec.ca
  - family-names: Larocque
    given-names: Denis
    email: denis.larocque@hec.ca
  - family-names: Jacquemont
    given-names: Sebastien
  - family-names: Barlaam
    given-names: Fanny
  - family-names: Martin
    given-names: Charles-Olivier
  - family-names: Agbogba
    given-names: Kristian
  - family-names: Lippe
    given-names: Sarah
  - family-names: Labbe
    given-names: Aurelie
    email: aurelie.labbe@hec.ca
  journal: Bioinformatics
  year: '2021'
  volume: '37'
  issue: '17'
  url: https://doi.org/10.1093/bioinformatics/btab158
  start: 2714–2721
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/calakus/RFCCA
commit: e1d0910d3aa313c3abdee1b10ed30636afff8be3
url: https://github.com/calakus/RFCCA
date-released: '2024-02-09'
contact:
- family-names: Alakus
  given-names: Cansu
  email: cansu.alakus@hec.ca