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


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


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


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