| ggtaugplot | Augmentation plot for each mode of an object of class taug... |
| ggtladleplot | Ladle plot for each mode of an object of class tladle using... |
| 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-package | Blind Source Separation Methods for Tensor-Valued... |
| 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 |
| zip2image | function to convert row of zip file to format used by image() |
| zip.test | Handwritten Digit Recognition Data |
| zip.train | Handwritten Digit Recognition Data |
