ivaBSS: Tools for Independent Vector Analysis

Independent vector analysis (IVA) is a blind source separation (BSS) model where several datasets are jointly unmixed. This package provides several methods for the unmixing together with some performance measures. For details, see Anderson et al. (2011) <doi:10.1109/TSP.2011.2181836> and Lee et al. (2007) <doi:10.1016/j.sigpro.2007.01.010>.

Version: 1.0.0
Imports: stats, graphics, BSSprep
Suggests: LaplacesDemon
Published: 2022-05-19
Author: Mika Sipilä [aut, cre], Klaus Nordhausen ORCID iD [aut], Sara Taskinen ORCID iD [aut]
Maintainer: Mika Sipilä <mika.e.sipila at student.jyu.fi>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS ChangeLog
CRAN checks: ivaBSS results


Reference manual: ivaBSS.pdf


Package source: ivaBSS_1.0.0.tar.gz
Windows binaries: r-devel: ivaBSS_1.0.0.zip, r-release: ivaBSS_1.0.0.zip, r-oldrel: ivaBSS_1.0.0.zip
macOS binaries: r-release (arm64): ivaBSS_1.0.0.tgz, r-oldrel (arm64): ivaBSS_1.0.0.tgz, r-release (x86_64): ivaBSS_1.0.0.tgz, r-oldrel (x86_64): ivaBSS_1.0.0.tgz


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