tensorBSS: Blind Source Separation Methods for Tensor-Valued Observations

Contains several utility functions for manipulating tensor-valued data (centering, multiplication from a single mode etc.) and the implementations of the following blind source separation methods for tensor-valued data: 'tPCA', 'tFOBI', 'tJADE', k-tJADE', 'tgFOBI', 'tgJADE', 'tSOBI', 'tNSS.SD', 'tNSS.JD', 'tNSS.TD.JD', 'tPP' and 'tTUCKER'.

Version: 0.3.6
Depends: JADE, R (≥ 2.10)
Imports: Rcpp (≥ 0.12.3), tensor, tsBSS, ICtest, ggplot2
LinkingTo: Rcpp, RcppArmadillo
Suggests: stochvol
Published: 2020-02-27
Author: Joni Virta, Christoph Koesner, Bing Li, Klaus Nordhausen, Hannu Oja
Maintainer: Joni Virta <joni.virta at outlook.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: tensorBSS results


Reference manual: tensorBSS.pdf
Package source: tensorBSS_0.3.6.tar.gz
Windows binaries: r-devel: tensorBSS_0.3.6.zip, r-release: tensorBSS_0.3.6.zip, r-oldrel: tensorBSS_0.3.6.zip
macOS binaries: r-release: tensorBSS_0.3.6.tgz, r-oldrel: tensorBSS_0.3.6.tgz
Old sources: tensorBSS archive


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