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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.

Version: 1.1.1
Imports: Rcpp (≥ 1.0.11), RcppEigen, rTensor, stats
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown
Published: 2024-04-09
DOI: 10.32614/CRAN.package.tensorMiss
Author: Zetai Cen [aut, cre]
Maintainer: Zetai Cen <z.cen at lse.ac.uk>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: tensorMiss results

Documentation:

Reference manual: tensorMiss.pdf
Vignettes: A-short-introduction-to-tensorMiss

Downloads:

Package source: tensorMiss_1.1.1.tar.gz
Windows binaries: r-devel: tensorMiss_1.1.1.zip, r-release: tensorMiss_1.1.1.zip, r-oldrel: tensorMiss_1.1.1.zip
macOS binaries: r-release (arm64): tensorMiss_1.1.1.tgz, r-oldrel (arm64): tensorMiss_1.1.1.tgz, r-release (x86_64): tensorMiss_1.1.1.tgz, r-oldrel (x86_64): tensorMiss_1.1.1.tgz
Old sources: tensorMiss archive

Reverse dependencies:

Reverse imports: MEFM

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tensorMiss to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.