dcorBSS
1.0-0Distance-Correlation Based Methods for Blind Source Separation and Dependence Analysis
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-101 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 92%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 85%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 1.0-0Latest2026-06-10 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-10
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Start here. This is the citation for the package itself.
citation("dcorBSS")CRAN DOI
https://doi.org/10.32614/CRAN.package.dcorBSSBibTeX, derived from DESCRIPTION
@Manual{dcorBSS,
title = {dcorBSS: Distance-Correlation Based Methods for Blind Source Separation
and Dependence Analysis},
author = {Nordhausen, Klaus and Leyder, Sarah},
year = {2026},
note = {R package version 1.0-0},
doi = {10.32614/CRAN.package.dcorBSS},
url = {https://CRAN.R-project.org/package=dcorBSS}
}Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.
This is the citation for the package. It is not a citation for the R Observatory.
Cite this page
Use this when the claim is about a measurement on this page.
BibTeX
@misc{robservatorydcorBSS,
author = {Balamuta, James Joseph},
title = {{R} {Observatory}: Metrics for {dcorBSS} version 1.0-0},
year = {2026},
publisher = {HJJB, LLC},
url = {https://r-observatory.thecoatlessprofessor.com/packages/dcorBSS},
note = {Data set. Data release v2026-08-05}
}APA
Balamuta, J. J. (2026). R Observatory: Metrics for dcorBSS version 1.0-0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/dcorBSSRIS
TY - DATA
AU - Balamuta, James Joseph
TI - R Observatory: Metrics for dcorBSS version 1.0-0
PY - 2026
PB - HJJB, LLC
N1 - Data release v2026-08-05
UR - https://r-observatory.thecoatlessprofessor.com/packages/dcorBSS
ER - In prose
These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/dcorBSS.Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.