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'.


Reference manual

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0.3.8 by Joni Virta, 8 months ago

Browse source code at

Authors: Joni Virta [aut, cre] , Christoph L. Koesner [aut] , Bing Li [aut] , Klaus Nordhausen [aut] , Hannu Oja [aut] , Una Radojicic [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, tensor, tsBSS, ICtest, ggplot2, abind

Depends on JADE, fICA

Suggests stochvol

Linking to Rcpp, RcppArmadillo

See at CRAN