R: Blind Source Separation Methods for Tensor-Valued Observations

# Blind Source Separation Methods for Tensor-Valued Observations

## Documentation for package ‘tensorBSS’ version 0.3.9

- DESCRIPTION file

## Help Pages

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()