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 [aut,
cre],
Christoph L. Koesner
[aut],
Bing Li [aut],
Klaus Nordhausen
[aut],
Hannu Oja [aut],
Una Radojicic
[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 |
Documentation:
Downloads:
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