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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: fastHICA results


Reference manual: fastHICA.pdf


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


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