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="matvec-methods.html">matvec-methods</a></code> and <code><a href="unfold-methods.html">unfold-methods</a></code>.
</p>

cs_unfold(tnsr, m)

## S4 method for signature 'Tensor'
cs_unfold(tnsr, m = NULL)

<table summary="R argblock">
<tr valign="top">
<td><code>tnsr</code></td>
<td>
<p>Tensor instance</p>
</td>
</tr>
<tr valign="top">
<td><code>m</code></td>
<td>
<p>mode to be unfolded on</p>
</td>
</tr>
</table>

<p><code>cs_unfold(tnsr,m=NULL)</code>
</p>

package-ubuntu-20.04-r-4.0.5#cran#rTensor-1.4.8#docs#cs_unfold-methods

cs_unfold-methods

Description

Usage

Arguments

Details

rTensor

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`tnsr`	Tensor instance
`m`	mode to be unfolded on