fastHICA: Hierarchical Independent Component Analysis: a Multi-Scale Sparse Non-Orthogonal Data-Driven Basis

It implements HICA (Hierarchical Independent Component Analysis) algorithm. This approach, obtained through the integration between treelets and Independent Component Analysis, is able to provide a multi-scale non-orthogonal data-driven basis, whose elements have a phenomenological interpretation according to the problem under study.

Version:	1.0.2
Depends:	fastICA, energy
Published:	2015-05-12
Author:	Piercesare Secchi, Simone Vantini, and Paolo Zanini
Maintainer:	Paolo Zanini <paolo.zanini at polimi.it>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	fastHICA results

Documentation:

Reference manual:

fastHICA.pdf

Downloads:

Package source:	fastHICA_1.0.2.tar.gz
Windows binaries:	r-devel: fastHICA_1.0.2.zip, r-release: fastHICA_1.0.2.zip, r-oldrel: fastHICA_1.0.2.zip
macOS binaries:	r-release (arm64): fastHICA_1.0.2.tgz, r-oldrel (arm64): fastHICA_1.0.2.tgz, r-release (x86_64): fastHICA_1.0.2.tgz, r-oldrel (x86_64): fastHICA_1.0.2.tgz
Old sources:	fastHICA archive

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