Package: tensorMiss 1.1.1

Zetai Cen

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]

tensorMiss_1.1.1.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
tensorMiss/json (API)
NEWS

# Install 'tensorMiss' in R:
install.packages('tensorMiss', repos = c('https://zerokgkg1368.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

2.78 score 2 packages 242 downloads 9 exports 3 dependencies

Last updated from:a204a0e739. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK183
linux-devel-x86_64OK193
source / vignettesOK298
linux-release-arm64OK171
linux-release-x86_64OK186
macos-release-arm64OK186
macos-release-x86_64OK274
macos-oldrel-arm64OK248
macos-oldrel-x86_64OK655
windows-develOK229
windows-releaseOK204
windows-oldrelOK249
wasm-releaseOK143

Exports:flemiss_factor_estmiss_genqMSErefoldsigmaDtensor_genttmunfold

Dependencies:RcppRcppEigenrTensor

A-short-introduction-to-tensorMiss

Rendered fromA-short-introduction-to-tensorMiss.Rmdusingknitr::rmarkdownon May 17 2026.

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