Package: JADE 2.0-4

Klaus Nordhausen

JADE: Blind Source Separation Methods Based on Joint Diagonalization and Some BSS Performance Criteria

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>.

Authors:Klaus Nordhausen [aut, cre], Jean-Francois Cardoso [aut], Jari Miettinen [aut], Hannu Oja [aut], Esa Ollila [aut], Sara Taskinen [aut]

JADE_2.0-4.tar.gz
JADE_2.0-4.tar.gz(r-4.5-noble)JADE_2.0-4.tar.gz(r-4.4-noble)
JADE_2.0-4.tgz(r-4.4-emscripten)JADE_2.0-4.tgz(r-4.3-emscripten)
JADE.pdf |JADE.html✨
JADE/json (API)

# Install 'JADE' in R:
install.packages('JADE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • CPPdata - Cocktail Party Problem Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

5.11 score 2 stars 16 packages 1.3k downloads 198 mentions 21 exports 2 dependencies

Last updated 1 years agofrom:b76dd4b513. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 12 2025
R-4.5-linux-x86_64OKMar 12 2025
R-4.4-linux-x86_64OKMar 12 2025

Exports:amari.errorAMUSEbss.componentscjdComonGAPdjdFGFOBIfrjdfrjd.intJADEk_JADEMDmultscatterNSS.JDNSS.SDNSS.TD.JDrjdrjd.fortranSIRSOBI

Dependencies:cluecluster

Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp

Rendered fromJADE-BSSasymp.Rnwusingutils::Sweaveon Mar 12 2025.

Last update: 2018-03-02
Started: 2015-08-14