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.

AuthorJari Miettinen, Klaus Nordhausen, Hannu Oja, Sara Taskinen
Date of publication2017-01-09 10:00:30
MaintainerJari Miettinen <jari.p.miettinen@jyu.fi>
LicenseGPL (>= 2)
Version1.2-0

View on CRAN

Functions

alphas Man page
ASCOV_FastICAdefl Man page
ASCOV_FastICAdefl_est Man page
ASCOV_FastICAsym Man page
ASCOV_FastICAsym2 Man page
ASCOV_FastICAsym2_est Man page
ASCOV_FastICAsym_est Man page
ASCOV_FOBI Man page
ASCOV_FOBI_est Man page
ASCOV_JADE Man page
ASCOV_JADE_est Man page
ASCOV_SOBI Man page
ASCOV_SOBIdefl Man page
ASCOV_SOBIdefl_est Man page
ASCOV_SOBIdefl_estN Man page
ASCOV_SOBI_est Man page
ASCOV_SOBI_estN Man page
aSOBI Man page
BSSasymp-package Man page
CRB Man page
eSOBI Man page
eSOBI_lags Man page
taus_def Man page

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