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tensorFun  

Basic Functions to Handle Tensor Data in Array Class
View on CRAN: Click here


Download and install tensorFun package within the R console
Install from CRAN:
install.packages("tensorFun")

Install from Github:
library("remotes")
install_github("cran/tensorFun")

Install by package version:
library("remotes")
install_version("tensorFun", "0.1.1")



Attach the package and use:
library("tensorFun")
Maintained by
Zetai Cen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-01
Latest Update: 2023-05-15
Description:
Basic functions to handle higher-order tensor data. See Kolda and Bader 2009 doi10.113707070111X 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 arXiv1910.06677 are also supported.
How to cite:
Zetai Cen (2022). tensorFun: Basic Functions to Handle Tensor Data in Array Class. R package version 0.1.1, https://cran.r-project.org/web/packages/tensorFun. Accessed 18 Feb. 2025.
Previous versions and publish date:
0.1.1 (2022-11-01 09:02)
Other packages that cited tensorFun R package
View tensorFun citation profile
Other R packages that tensorFun depends, imports, suggests or enhances
Functions, R codes and Examples using the tensorFun R package
Some associated functions: All_inv . All_rearrange . H_trans . Mcut . obs_ind . rearrange . rearrange_inv . refold . ttm . unfold . 
Some associated R codes: All_inv.R . All_rearrange.R . H_trans.R . Mcut.R . obs_ind.R . rearrange.R . rearrange_inv.R . refold.R . ttm.R . unfold.R .  Full tensorFun package functions and examples
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