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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: 0.14-0
Imports: Rcpp (≥ 1.0.2), JADE, sp, stats, SpatialNP, distances, robustbase
LinkingTo: Rcpp, RcppArmadillo
Suggests: sf, knitr, rmarkdown, markdown, gstat
Published: 2023-07-20
DOI: 10.32614/CRAN.package.SpatialBSS
Author: Christoph Muehlmann ORCID iD [aut], Mika Sipil<e4> 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

Documentation:

Reference manual: SpatialBSS.pdf
Vignettes: SBSS

Downloads:

Package source: SpatialBSS_0.14-0.tar.gz
Windows binaries: r-devel: SpatialBSS_0.14-0.zip, r-release: SpatialBSS_0.14-0.zip, r-oldrel: SpatialBSS_0.14-0.zip
macOS binaries: r-release (arm64): SpatialBSS_0.14-0.tgz, r-oldrel (arm64): SpatialBSS_0.14-0.tgz, r-release (x86_64): SpatialBSS_0.14-0.tgz, r-oldrel (x86_64): SpatialBSS_0.14-0.tgz
Old sources: SpatialBSS archive

Reverse dependencies:

Reverse imports: BSSoverSpace

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SpatialBSS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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