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 
[aut],
Klaus Nordhausen
[cre, aut],
Hannu Oja [aut],
Sara Taskinen
[aut] |
| Maintainer: | Klaus Nordhausen <klaus.k.nordhausen at jyu.fi> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | BSSasymp citation info |
| Materials: | ChangeLog |
| CRAN checks: | BSSasymp results |
Documentation:
| Reference manual: | BSSasymp.pdf |
Downloads:
| Package source: | BSSasymp_1.2-3.tar.gz |
| Windows binaries: | r-devel: BSSasymp_1.2-3.zip, r-release: BSSasymp_1.2-3.zip, r-oldrel: BSSasymp_1.2-3.zip |
| 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 |
Linking:
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