rTensor2: MultiLinear Algebra

A set of tools for basic tensor operators. A tensor in the context of data analysis in a multidimensional array. The tools in this package rely on using any discrete transformation (e.g. Fast Fourier Transform (FFT)). Standard tools included are the Eigenvalue decomposition of a tensor, the QR decomposition and LU decomposition. Other functionality includes the inverse of a tensor and the transpose of a symmetric tensor. Functionality in the package is outlined in Kernfeld et al. (2015) <https://www.sciencedirect.com/science/article/pii/S0024379515004358>.

Version: 0.2.0
Depends: R (≥ 4.2.0)
Imports: methods, rTensor, wavethresh, gsignal, Matrix, matrixcalc
Suggests: knitr, rmarkdown
Published: 2024-02-23
Author: Kyle Caudle [aut, cre], Randy Hoover [ctb], Jackson Cates [ctb]
Maintainer: Kyle Caudle <kyle.caudle at sdsmt.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: rTensor2 results

Documentation:

Reference manual: rTensor2.pdf
Vignettes: rTensor2

Downloads:

Package source: rTensor2_0.2.0.tar.gz
Windows binaries: r-devel: rTensor2_0.1.0.zip, r-release: rTensor2_0.2.0.zip, r-oldrel: rTensor2_0.2.0.zip
macOS binaries: r-release (arm64): rTensor2_0.2.0.tgz, r-oldrel (arm64): rTensor2_0.2.0.tgz, r-release (x86_64): rTensor2_0.2.0.tgz
Old sources: rTensor2 archive

Reverse dependencies:

Reverse imports: LTAR

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