refold

Performing tensorization, which is the inverse process of unfolding

Basic functions to handle higher-order tensor data. See Kolda and Bader (2009) <doi:10.1137/07070111X> for details on tensor. While existing packages on tensor data extend the base 'array' class to some S4 classes, this package serves as an alternative resort to handle tensor only as 'array' class.
Some functionalities related to missingness and rearrangement, discussed in Bai and Ng (2021) <arXiv:1910.06677>, are also supported.

Zetai Cen

tensorFun

Basic Functions to Handle Tensor Data in Array Class

refold function

<dl><dt>unfolding</dt>
<dd>A multi-dimensional array</dd>
<dt>k</dt>
<dd>An integer specifying the mode of array to unfold</dd>
<dt>dim_vec</dt>
<dd>A vector specifying the expected dimension of output array</dd></dl>

Arguments

Tensor refolding — refold

<dl>

<dt>unfolding</dt>
<dd>A multi-dimensional array</dd>


<dt>k</dt>
<dd>An integer specifying the mode of array to unfold</dd>


<dt>dim_vec</dt>
<dd>A vector specifying the expected dimension of output array</dd>

</dl>

refold: Tensor refolding

Description

Usage

Value

Arguments

Examples