BSSasymp-package {BSSasymp} | R Documentation |
Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing Matrix Estimates.
Description
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.
Details
Package: | BSSasymp |
Type: | Package |
Version: | 1.2-3 |
Date: | 2021-12-10 |
License: | GPL (>= 2) |
Author(s)
Jari Miettinen, Klaus Nordhausen, Hannu Oja, Sara Taskinen
Maintainer: Klaus Nordhausen <klaus.k.nordhausen@jyu.fi>
References
Miettinen, J., Nordhausen, K. and Taskinen, S. (2017), Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp, Journal of Statistical Software, 76, 1-31, <doi:10.18637/jss.v076.i02>.
[Package BSSasymp version 1.2-3 Index]