Blind Source Separation for Multivariate Spatial Data [R package SpatialBSS version 0.16-0]

SpatialBSS: Blind Source Separation for Multivariate Spatial Data

Blind source separation for multivariate spatial data based on simultaneous/joint diagonalization of (robust) local covariance matrices. This package is an implementation of the methods described in Bachoc, Genton, Nordhausen, Ruiz-Gazen and Virta (2020) <doi:10.1093/biomet/asz079>.

Version: 0.16-0

Depends: R (≥ 3.5.0)

Imports: Rcpp (≥ 1.0.2), JADE, sp, stats, SpatialNP, distances, robustbase

LinkingTo: Rcpp, RcppArmadillo

Suggests: sf, knitr, rmarkdown, markdown, gstat

Published: 2025年03月27日

DOI: 10.32614/CRAN.package.SpatialBSS

Author: Christoph Muehlmann ORCID iD [aut], Mika Sipil<e4> ORCID iD [aut], Claudia Cappello ORCID iD [aut], Sandra De Iaco ORCID iD [aut], Klaus Nordhausen ORCID iD [aut, cre], Sara Taskinen ORCID iD [aut], Joni Virta ORCID iD [aut]

Maintainer: Klaus Nordhausen <klausnordhausenR at gmail.com>

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

NeedsCompilation: yes

CRAN checks: SpatialBSS results