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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
 [aut],
Mika Sipil<e4>
[aut],
Klaus Nordhausen
[aut, cre],
Sara Taskinen
[aut],
Joni Virta [aut] |
| Maintainer: |
Klaus Nordhausen <klausnordhausenR at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
SpatialBSS results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=SpatialBSS
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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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