[aut, cre],
Jean-Francois Cardoso [aut],
Jari Miettinen
[aut],
Hannu Oja [aut],
Esa Ollila [aut],
Sara Taskinen
[aut]Cardoso's JADE algorithm as well as his functions for joint diagonalization are ported to R. Also several other blind source separation (BSS) methods, like AMUSE and SOBI, and some criteria for performance evaluation of BSS algorithms, are given. The package is described in Miettinen, Nordhausen and Taskinen (2017) <doi:10.18637/jss.v076.i02>.
| Version: | 2.0-3 |
| Imports: | clue, graphics |
| Suggests: | ICS, ICSNP |
| Published: | 2020-03-25 |
| Author: | Klaus Nordhausen
[aut, cre],
Jean-Francois Cardoso [aut],
Jari Miettinen
[aut],
Hannu Oja [aut],
Esa Ollila [aut],
Sara Taskinen
[aut] |
| Maintainer: | Klaus Nordhausen <klaus.nordhausen at tuwien.ac.at> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | JADE citation info |
| Materials: | ChangeLog |
| In views: | Multivariate |
| CRAN checks: | JADE results |
| Reference manual: | JADE.pdf |
| Vignettes: |
Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp |
| Package source: | JADE_2.0-3.tar.gz |
| Windows binaries: | r-devel: JADE_2.0-3.zip, r-release: JADE_2.0-3.zip, r-oldrel: JADE_2.0-3.zip |
| macOS binaries: | r-release: JADE_2.0-3.tgz, r-oldrel: JADE_2.0-3.tgz |
| Old sources: | JADE archive |
| Reverse depends: | ICtest, isva, MineICA, tensorBSS, tsBSS |
| Reverse imports: | BSSasymp, fICA, osd, SpatialBSS |
| Reverse suggests: | steadyICA |
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