Package: tensorMiss 1.1.1

tensorMiss: Handle Missing Tensor Data with C++ Integration

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.

Authors:Zetai Cen [aut, cre]

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tensorMiss.pdf |tensorMiss.html
tensorMiss/json (API)
NEWS

# Install 'tensorMiss' in R:
install.packages('tensorMiss', repos = c('https://zerokgkg1368.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

9 exports 0.61 score 3 dependencies 1 dependents 191 downloads

Last updated 5 months agofrom:a204a0e739. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-win-x86_64OKSep 07 2024
R-4.5-linux-x86_64OKSep 07 2024
R-4.4-win-x86_64OKSep 07 2024
R-4.4-mac-x86_64OKSep 07 2024
R-4.4-mac-aarch64OKSep 07 2024
R-4.3-win-x86_64OKSep 07 2024
R-4.3-mac-x86_64OKSep 07 2024
R-4.3-mac-aarch64OKSep 07 2024

Exports:flemiss_factor_estmiss_genqMSErefoldsigmaDtensor_genttmunfold

Dependencies:RcppRcppEigenrTensor

A-short-introduction-to-tensorMiss

Rendered fromA-short-introduction-to-tensorMiss.Rmdusingknitr::rmarkdownon Sep 07 2024.

Last update: 2024-03-24
Started: 2024-03-24