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 |
| DOI: | 10.32614/CRAN.package.ivaBSS |
| Author: | Mika Sipilä [aut, cre],
Klaus Nordhausen 
[aut],
Sara Taskinen
[aut] |
| Maintainer: | Mika Sipilä <mika.e.sipila at student.jyu.fi> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README NEWS ChangeLog |
| CRAN checks: | ivaBSS results |
Documentation:
| Reference manual: | ivaBSS.pdf |
Downloads:
| 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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