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BSSasymp  

Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing Matrix Estimates
View on CRAN: Click here


Download and install BSSasymp package within the R console
Install from CRAN:
install.packages("BSSasymp")

Install from Github:
library("remotes")
install_github("cran/BSSasymp")

Install by package version:
library("remotes")
install_version("BSSasymp", "1.2-4")



Attach the package and use:
library("BSSasymp")
Maintained by
Klaus Nordhausen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-11-25
Latest Update: 2025-03-27
Description:
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.
How to cite:
Klaus Nordhausen (2013). BSSasymp: Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing Matrix Estimates. R package version 1.2-4, https://cran.r-project.org/web/packages/BSSasymp. Accessed 02 Sep. 2026.
Previous versions and publish date:
1.0-0 (2013-11-25 09:16), 1.0-1 (2014-06-19 14:46), 1.0-2 (2014-08-07 14:22), 1.1-0 (2014-10-28 13:09), 1.1-1 (2015-08-17 17:01), 1.1-2 (2016-02-11 16:43), 1.2-0 (2017-01-09 10:00), 1.2-1 (2017-09-12 13:47), 1.2-2 (2021-12-08 13:40), 1.2-3 (2021-12-10 13:40), (2026-07-09 07:58)
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Complete documentation for BSSasymp
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