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. For details, see Miettinen et al. (2015) <doi:10.1214/15-STS520>, Miettinen et al. (2016) <doi:10.1111/jtsa.12159>, Miettinen et al. (2017) <doi:10.1016/j.sigpro.2016.08.028>, Miettinen et al. (2017) <doi:10.18637/jss.v076.i02>, and references therein.

Version: 1.2-1
Imports: fICA (≥ 1.0-2), JADE
Published: 2017-09-12
Author: Jari Miettinen, Klaus Nordhausen, Hannu Oja, Sara Taskinen
Maintainer: Jari Miettinen <jari.p.miettinen 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_1.2-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: BSSasymp_1.2-1.tgz, r-oldrel: BSSasymp_1.2-1.tgz
Old sources: BSSasymp archive

Reverse dependencies:

Reverse suggests: fICA


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