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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 "dynR" in publications use:'
type: software
license: MIT
title: 'dynR: Dynamic Connectivity Analysis for Neurophysiological Timeseries'
version: 0.1.2
doi: 10.32614/CRAN.package.dynR
abstract: An R port of the Python dynfc library for computing dynamic connectivity
  (dynFC) representations from multivariate neurophysiological timeseries, including
  BOLD fMRI, EEG, LFP, and related signals. Implements sliding-window Pearson correlation
  (Hansen et al., 2015), edge-centric cofluctuation analysis (Esfahlani et al., 2020;
  Faskowitz et al., 2020), instantaneous phase-locking via the Hilbert transform,
  dynamic phase-locking matrices (dPL), the LEiDA leading-eigenvector framework (Cabral
  et al., 2017; Lord et al., 2019), and the Kuramoto order parameter with metastability
  and Shannon entropy. Part of the Circadia Lab R ecosystem.
authors:
- family-names: França
  given-names: Lucas
  email: lucas.franca@northumbria.ac.uk
  orcid: https://orcid.org/0000-0003-0853-1319
- family-names: Leocadio-Miguel
  given-names: Mario
  email: mario.miguel@northumbria.ac.uk
  orcid: https://orcid.org/0000-0002-7248-3529
- family-names: Batallé
  given-names: Dafnis
  email: dafnis.batalle@kcl.ac.uk
  orcid: https://orcid.org/0000-0003-2097-979X
repository: https://circadia-bio.r-universe.dev
repository-code: https://github.com/circadia-bio/dynR
commit: c08c64a0b24a4689dbd92e6cf0bfc2697480a602
url: https://dynr.circadia-lab.uk
date-released: '2026-07-02'
contact:
- family-names: França
  given-names: Lucas
  email: lucas.franca@northumbria.ac.uk
  orcid: https://orcid.org/0000-0003-0853-1319