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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 "FES" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'FES: Fisher Exact Scanning for Dependency'
version: '1.0'
doi: 10.1080/01621459.2017.1397522
abstract: Implements Fisher exact scanning (FES), a multiscale test of dependence
  for continuous or discrete bivariate data. The method scans nested binary partitions
  using Fisher's exact tests and combines evidence across windows and resolutions
  with Sidak, Bonferroni, and meta-analysis corrections. The methodology is described
  in Ma and Mao (2019) <https://doi.org/10.1080/01621459.2017.1397522>.
authors:
- family-names: Ma
  given-names: Li
  email: mastatlab@gmail.com
preferred-citation:
  type: article
  title: Fisher Exact Scanning for Dependency
  authors:
  - family-names: Ma
    given-names: Li
    email: mastatlab@gmail.com
  - family-names: Mao
    given-names: Jialiang
  journal: Journal of the American Statistical Association
  year: '2019'
  volume: '114'
  issue: '525'
  doi: 10.1080/01621459.2017.1397522
  start: '245'
  end: '258'
repository: https://mastatlab.r-universe.dev
repository-code: https://github.com/mastatlab/fes
commit: 489cc41a7664e4d3d04b711fa75cf6ab5dca8a0a
url: https://github.com/mastatlab/fes
date-released: '2026-07-14'
contact:
- family-names: Ma
  given-names: Li
  email: mastatlab@gmail.com