Package: dcorBSS
Title: Distance-Correlation Based Methods for Blind Source Separation
        and Dependence Analysis
Version: 1.0-0
Authors@R: 
    c(person(given = "Sarah",
             family = "Leyder",
             role = c("aut"),
             comment = c(ORCID = "0000-0002-0828-0399")),
      person(given = "Klaus",
             family = "Nordhausen",
             role = c("aut", "cre"),
             email = "klausnordhausenR@gmail.com",
             comment = c(ORCID = "0000-0002-3758-8501")))
Description: 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) <doi:10.1080/01621459.2016.1150851> and to the robust framework of Leyder et al. (2026) <doi:10.1007/s11634-026-00674-9>.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp
Depends: R (>= 4.1.0)
Imports: dccpp, dHSIC, minqa, nloptr, stats, utils, Rcpp
Suggests: energy, JADE, robustbase, knitr, rmarkdown
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Author: Sarah Leyder [aut] (ORCID: <https://orcid.org/0000-0002-0828-0399>),
  Klaus Nordhausen [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-3758-8501>)
Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>
VignetteBuilder: knitr
Packaged: 2026-06-04 18:45:44 UTC; nordklau
Repository: CRAN
Date/Publication: 2026-06-10 07:30:09 UTC
Built: R 4.5.2; x86_64-apple-darwin20; 2026-06-10 09:30:29 UTC; unix
Archs: dcorBSS.so.dSYM
