nnTensor: Non-Negative Tensor Decomposition

Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.

Version: 1.2.0
Depends: R (≥ 3.4.0)
Imports: methods, MASS, fields, rTensor, plot3D, tagcloud, ggplot2
Suggests: knitr, rmarkdown, testthat, dplyr
Published: 2023-06-22
Author: Koki Tsuyuzaki [aut, cre], Itoshi Nikaido [aut]
Maintainer: Koki Tsuyuzaki <k.t.the-answer at hotmail.co.jp>
License: MIT + file LICENSE
URL: https://github.com/rikenbit/nnTensor
NeedsCompilation: no
Materials: NEWS
CRAN checks: nnTensor results

Documentation:

Reference manual: nnTensor.pdf
Vignettes: 1. Non-negative Matrix Factorization ('NMF' and 'NMTF')
2. Simultaneous Non-negative Matrix Factorization ('siNMF' and 'jNMF')
3. Non-negative Tensor Factorization ('NTF' and 'NTD')
4. Cross-validation by mask matrix/tensor ('kFoldMaskTensor')

Downloads:

Package source: nnTensor_1.2.0.tar.gz
Windows binaries: r-devel: nnTensor_1.2.0.zip, r-release: nnTensor_1.2.0.zip, r-oldrel: nnTensor_1.2.0.zip
macOS binaries: r-release (arm64): nnTensor_1.2.0.tgz, r-oldrel (arm64): nnTensor_1.2.0.tgz, r-release (x86_64): nnTensor_1.2.0.tgz
Old sources: nnTensor archive

Reverse dependencies:

Reverse imports: dcTensor, mwTensor, scTensor, scTGIF
Reverse suggests: ccTensor, iTensor

Linking:

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