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) and to the robust framework of Leyder et al. (2026) . 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: ), Klaus Nordhausen [aut, cre] (ORCID: ) Maintainer: Klaus Nordhausen VignetteBuilder: knitr Packaged: 2026-10-16 10:16:43 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2026-06-10 07:30:09 UTC RemoteUrl: https://github.com/cran/dcorBSS RemoteRef: HEAD RemoteSha: 3079d81f1292a79729da29a83a19e0f4703d7205