[aut, cre],
Klaus Nordhausen
[aut],
Joni Virta [aut]Blind source separation for multivariate spatial data based on simultaneous/joint diagonalization of 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: | 0.8 |
| Imports: | Rcpp (≥ 1.0.2), JADE, sp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | sf, RandomFields, knitr, rmarkdown |
| Published: | 2020-03-26 |
| Author: | Christoph Muehlmann
[aut, cre],
Klaus Nordhausen
[aut],
Joni Virta [aut] |
| Maintainer: | Christoph Muehlmann <christoph.muehlmann at tuwien.ac.at> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | SpatialBSS results |
| Reference manual: | SpatialBSS.pdf |
| Vignettes: |
SBSS |
| Package source: | SpatialBSS_0.8.tar.gz |
| Windows binaries: | r-devel: SpatialBSS_0.8.zip, r-release: SpatialBSS_0.8.zip, r-oldrel: SpatialBSS_0.8.zip |
| macOS binaries: | r-release: SpatialBSS_0.8.tgz, r-oldrel: SpatialBSS_0.8.tgz |
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