BSSasymp: Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing Matrix Estimates
Version 1.2-1

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) , Miettinen et al. (2016) , Miettinen et al. (2017) , Miettinen et al. (2017) , and references therein.

Package details

AuthorJari Miettinen, Klaus Nordhausen, Hannu Oja, Sara Taskinen
Date of publication2017-09-12 11:47:55 UTC
MaintainerJari Miettinen <[email protected]>
LicenseGPL (>= 2)
Version1.2-1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BSSasymp")

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BSSasymp documentation built on Sept. 12, 2017, 5:03 p.m.