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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 "dcorBSS" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'dcorBSS: Distance-Correlation Based Methods for Blind Source Separation and
  Dependence Analysis'
version: 1.0-0
abstract: Independent component analysis based on distance correlation, including
  a robust variant using the bowl transformation. The package provides user-facing
  implementations of distance covariance and distance correlation, including memory-efficient
  blockwise computations for large data sets. It includes a sequential ICA estimator
  based on minimizing distance correlation, as well as tools for analyzing serial
  dependence via distance autocorrelation, dependograms, and permutation-based tests.
  In addition, it provides functions for testing serial dependence based on distance
  correlation and the Hilbert–Schmidt independence criterion. The methodology is related
  to Matteson and Tsay (2017) <https://doi.org/10.1080/01621459.2016.1150851> and
  to the robust framework of Leyder et al. (2026) <https://doi.org/10.1007/s11634-026-00674-9>.
authors:
- family-names: Leyder
  given-names: Sarah
  orcid: https://orcid.org/0000-0002-0828-0399
- family-names: Nordhausen
  given-names: Klaus
  email: klausnordhausenR@gmail.com
  orcid: https://orcid.org/0000-0002-3758-8501
repository: https://cran.r-universe.dev
commit: 3079d81f1292a79729da29a83a19e0f4703d7205
date-released: '2026-06-10'
contact:
- family-names: Nordhausen
  given-names: Klaus
  email: klausnordhausenR@gmail.com
  orcid: https://orcid.org/0000-0002-3758-8501