tensorFun: Basic Functions to Handle Tensor Data in Array Class

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.

Version:	0.1.1
Imports:	ClimProjDiags, psychTools, MASS
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2022-11-01
Author:	Zetai Cen [aut, cre]
Maintainer:	Zetai Cen <z.cen at lse.ac.uk>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	tensorFun results

Documentation:

Reference manual:	tensorFun.pdf
Vignettes:	A-short-introduction-to-tensorFun

Downloads:

Package source:	tensorFun_0.1.1.tar.gz
Windows binaries:	r-devel: tensorFun_0.1.1.zip, r-release: tensorFun_0.1.1.zip, r-oldrel: tensorFun_0.1.1.zip
macOS binaries:	r-release (arm64): tensorFun_0.1.1.tgz, r-oldrel (arm64): tensorFun_0.1.1.tgz, r-release (x86_64): tensorFun_0.1.1.tgz, r-oldrel (x86_64): tensorFun_0.1.1.tgz

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