tensorr: Sparse Tensors in R

Provides methods to manipulate and store sparse tensors. Tensors are multidimensional generalizations of matrices (two dimensional) and vectors (one dimensional).

Version: 0.1.1
Depends: R (≥ 3.3.0)
Imports: assertive.base, assertive.properties, assertive.types, Matrix, methods, purrr
Suggests: covr, knitr, rmarkdown, testthat
Published: 2019-01-21
Author: Robert Zamora [aut, cre]
Maintainer: Robert Zamora <zamora.rr at gmail.com>
BugReports: https://github.com/zamorarr/tensorr/issues
License: GPL-3
URL: https://github.com/zamorarr/tensorr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: tensorr results


Reference manual: tensorr.pdf
Vignettes: Introduction to tensorr


Package source: tensorr_0.1.1.tar.gz
Windows binaries: r-devel: tensorr_0.1.1.zip, r-release: tensorr_0.1.1.zip, r-oldrel: tensorr_0.1.1.zip
macOS binaries: r-release (arm64): tensorr_0.1.1.tgz, r-oldrel (arm64): tensorr_0.1.1.tgz, r-release (x86_64): tensorr_0.1.1.tgz, r-oldrel (x86_64): tensorr_0.1.1.tgz
Old sources: tensorr archive

Reverse dependencies:

Reverse imports: ttTensor


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