Blind Source Separation Methods for Tensor-Valued Observations

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Documentation for package ‘tensorBSS’ version 0.3.9

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tensorBSS-package Blind Source Separation Methods for Tensor-Valued Observations
ggtaugplot Augmentation plot for each mode of an object of class taug using ggplot2
ggtladleplot Ladle plot for each mode of an object of class tladle using ggplot2
k_tJADE k-tJADE for Tensor-Valued Observations
mFlatten Flattening an Array Along One Mode
mModeAutoCovariance The m-Mode Autocovariance Matrix
mModeCovariance The m-Mode Covariance Matrix
plot.tbss Plot an Object of the Class tbss
print.taug Printing an object of class taug
print.tladle Printing an object of class tladle
selectComponents Select the Most Informative Components
tensorBoot Bootstrapping or Permuting a Data Tensor
tensorBSS Blind Source Separation Methods for Tensor-Valued Observations
tensorCentering Center an Array of Observations
tensorStandardize Standardize an Observation Array
tensorTransform Linear Transformation of Tensors from mth Mode
tensorTransform2 Linear Transformations of Tensors from Several Modes
tensorVectorize Vectorize an Observation Tensor
tFOBI FOBI for Tensor-Valued Observations
tgFOBI gFOBI for Tensor-Valued Time Series
tgJADE gJADE for Tensor-Valued Time Series
tJADE tJADE for Tensor-Valued Observations
tMD Minimum Distance Index of a Kronecker Product
tNSS.JD NSS-JD Method for Tensor-Valued Time Series
tNSS.SD NSS-SD Method for Tensor-Valued Time Series
tNSS.TD.JD TNSS-TD-JD Method for Tensor-Valued Time Series
tPCA PCA for Tensor-Valued Observations
tPCAaug Order Determination for Tensorial PCA Using Augmentation
tPCAladle Ladle Estimate for tPCA
tPP Projection pursuit for Tensor-Valued Observations
tSIR SIR for Tensor-Valued Observations
tSOBI SOBI for Tensor-Valued Time Series
tTUCKER Tucker (2) Transformation for a Tensor
zip.test Handwritten Digit Recognition Data
zip.train Handwritten Digit Recognition Data
zip2image function to convert row of zip file to format used by image()