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tensorMiss  

Handle Missing Tensor Data with C++ Integration
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tensorMiss", "1.1.1")



Attach the package and use:
library("tensorMiss")
Maintained by
Zetai Cen
[Scholar Profile | Author Map]
First Published: 2024-03-23
Latest Update: 2024-04-09
Description:
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 data classes, this package serves as an alternative resort to handle tensor only as 'array' class. Some functionalities related to missingness are also supported.
How to cite:
Zetai Cen (2024). tensorMiss: Handle Missing Tensor Data with C++ Integration. R package version 1.1.1, https://cran.r-project.org/web/packages/tensorMiss. Accessed 01 Apr. 2025.
Previous versions and publish date:
0.1.1 (2024-03-23 12:30)
Other packages that cited tensorMiss R package
View tensorMiss citation profile
Other R packages that tensorMiss depends, imports, suggests or enhances
Complete documentation for tensorMiss
Functions, R codes and Examples using the tensorMiss R package
Full tensorMiss package functions and examples
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