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:	2.0.0
Depends:	R (≥ 4.2.0)
Imports:	methods, raster, png, rTensor, wavethresh, gsignal, Matrix, matrixcalc
Suggests:	knitr, rmarkdown
Published:	2024-03-29
Author:	Kyle Caudle [aut, cre], Randy Hoover [ctb], Jackson Cates [ctb]
Maintainer:	Kyle Caudle <kyle.caudle at sdsmt.edu>
License:	GPL-3
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	rTensor2 results

Documentation:

Reference manual:	rTensor2.pdf
Vignettes:	rTensor2

Downloads:

Package source:	rTensor2_2.0.0.tar.gz
Windows binaries:	r-devel: rTensor2_2.0.0.zip, r-release: rTensor2_2.0.0.zip, r-oldrel: rTensor2_2.0.0.zip
macOS binaries:	r-release (arm64): rTensor2_2.0.0.tgz, r-oldrel (arm64): rTensor2_2.0.0.tgz, r-release (x86_64): rTensor2_2.0.0.tgz, r-oldrel (x86_64): rTensor2_2.0.0.tgz
Old sources:	rTensor2 archive

Reverse dependencies:

Reverse imports:

LTAR

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