BSSasymp: Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing Matrix Estimates

Functions to compute the asymptotic covariance matrices of mixing and unmixing matrix estimates of the following blind source separation (BSS) methods: symmetric and squared symmetric FastICA, regular and adaptive deflation-based FastICA, FOBI, JADE, AMUSE and deflation-based and symmetric SOBI. Also functions to estimate these covariances based on data are available.

Version: 1.2-3
Imports: fICA (≥ 1.0-2), JADE
Published: 2021-12-10
DOI: 10.32614/CRAN.package.BSSasymp
Author: Jari Miettinen ORCID iD [aut], Klaus Nordhausen ORCID iD [cre, aut], Hannu Oja [aut], Sara Taskinen ORCID iD [aut]
Maintainer: Klaus Nordhausen <klaus.k.nordhausen at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: BSSasymp citation info
Materials: ChangeLog
CRAN checks: BSSasymp results


Reference manual: BSSasymp.pdf


Package source: BSSasymp_1.2-3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BSSasymp_1.2-3.tgz, r-oldrel (arm64): BSSasymp_1.2-3.tgz, r-release (x86_64): BSSasymp_1.2-3.tgz, r-oldrel (x86_64): BSSasymp_1.2-3.tgz
Old sources: BSSasymp archive

Reverse dependencies:

Reverse suggests: fICA


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