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: 0.3.8
Depends: JADE, R (≥ 2.10), fICA
Imports: Rcpp (≥ 0.12.3), tensor, tsBSS, ICtest, ggplot2, abind
LinkingTo: Rcpp, RcppArmadillo
Suggests: stochvol
Published: 2021-06-02
Author: Joni Virta ORCID iD [aut, cre], Christoph L. Koesner ORCID iD [aut], Bing Li [aut], Klaus Nordhausen ORCID iD [aut], Hannu Oja [aut], Una Radojicic ORCID iD [aut]
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

Downloads:

Reference manual: tensorBSS.pdf
Package source: tensorBSS_0.3.8.tar.gz
Windows binaries: r-devel: tensorBSS_0.3.8.zip, r-devel-UCRT: tensorBSS_0.3.8.zip, r-release: tensorBSS_0.3.8.zip, r-oldrel: tensorBSS_0.3.8.zip
macOS binaries: r-release (arm64): tensorBSS_0.3.8.tgz, r-release (x86_64): tensorBSS_0.3.8.tgz, r-oldrel: tensorBSS_0.3.8.tgz
Old sources: tensorBSS archive

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