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KernelICA: Kernel Independent Component Analysis

The kernel independent component analysis (kernel ICA) method introduced by Bach and Jordan (2002) <doi:10.1162/153244303768966085>. A separate function for the incomplete Cholesky decomposition used in kernel ICA is also provided.

Version: 2.0.0
Depends: Rcpp, R (≥ 4.2.0)
Imports: methods, ManifoldOptim, JADE, ICtest
LinkingTo: Rcpp, RcppArmadillo, ManifoldOptim, RcppEigen
Published: 2026-08-04
DOI: 10.32614/CRAN.package.KernelICA
Author: Christoph L. Koesner ORCID iD [aut], Juho Eagling ORCID iD [aut], Klaus Nordhausen ORCID iD [aut, cre]
Maintainer: Klaus Nordhausen <klausnordhausenR at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
CRAN checks: KernelICA results

Documentation:

Reference manual: KernelICA.html , KernelICA.pdf

Downloads:

Package source: KernelICA_2.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: KernelICA_2.0.0.zip, r-oldrel: KernelICA_2.0.0.zip
macOS binaries: r-release (arm64): KernelICA_2.0.0.tgz, r-oldrel (arm64): KernelICA_2.0.0.tgz, r-release (x86_64): KernelICA_2.0.0.tgz, r-oldrel (x86_64): KernelICA_2.0.0.tgz
Old sources: KernelICA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=KernelICA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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