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tensorMiss
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.tensorMiss . tensorMiss results . tensorMiss.pdf . A-short-introduction-to-tensorMiss . tensorMiss_1.1.1.tar.gz . tensorMiss_1.1.1.zip . tensorMiss_1.1.1.zip . tensorMiss_1.1.1.zip . tensorMiss_1.1.1.tgz . tensorMiss_1.1.1.tgz . tensorMiss_1.1.1.tgz . tensorMiss_1.1.1.tgz . tensorMiss_1.1.1.tgz . tensorMiss_1.1.1.tgz . tensorMiss archive . https://CRAN.R-project.org/package=tensorMiss .
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)
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