A set of tools for creation, manipulation, and modeling
of tensors with arbitrary number of modes. A tensor in the context of data
analysis is a multidimensional array. rTensor does this by providing a S4
class 'Tensor' that wraps around the base 'array' class. rTensor
provides common tensor operations as methods, including matrix unfolding,
summing/averaging across modes, calculating the Frobenius norm, and taking
the inner product between two tensors. Familiar array operations are
overloaded, such as index subsetting via '[' and element-wise operations.
rTensor also implements various tensor decomposition, including CP, GLRAM,
MPCA, PVD, and Tucker. For tensors with 3 modes, rTensor also implements
transpose, t-product, and t-SVD, as defined in Kilmer et al. (2013). Some
auxiliary functions include the Khatri-Rao product, Kronecker product, and
the Hadamard product for a list of matrices.

Tools for Tensor Analysis and Decomposition

package-ubuntu-20.04-r-4.0.5#cran#rTensor-1.4.8

<p>DEPRECATED. Please see <code><a href="unmatvec.html">unmatvec</a></code>
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>mat</code></td>
<td>
<p>matrix to be folded</p>
</td>
</tr>
<tr valign="top">
<td><code>m</code></td>
<td>
<p>the mode corresponding to cs_unfold</p>
</td>
</tr>
<tr valign="top">
<td><code>modes</code></td>
<td>
<p>the original modes of the tensor</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#rTensor-1.4.8#docs#cs_fold

cs_fold

Description

Usage

Arguments

rTensor

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`mat`	matrix to be folded
`m`	the mode corresponding to cs_unfold
`modes`	the original modes of the tensor