rTensor

rTensor-package

<p>This package is centered around the <code><a rd-options="" href="/link/Tensor-class?package=rTensor&version=1.4" data-mini-rdoc="rTensor::Tensor-class">Tensor-class</a></code>, which defines a S4 class for tensors of arbitrary number of modes. A vignette and/or a possible paper will be included in a future release of this package.</p>

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 Hamadard product for a list of matrices.

James Li

Tools for Tensor Analysis and Decomposition

rTensor-package function

<p>This package is centered around the <code><a rd-options='' href='Tensor-class'>Tensor-class</a></code>, which defines a S4 class for tensors of arbitrary number of modes. A vignette and/or a possible paper will be included in a future release of this package.</p>

rTensor-package: Tools for tensor analysis and decomposition

Description

Arguments

Details