tensorordinal: Tensor Noise Reduction and Completion Based on Ordinal Observations

A set of tools for noise reduction and completion from ordinal tensor data with possibly missing values. The algorithms can be found in Lee and Wang (2020) <arXiv:2002.06524>.

Version: 0.1.0
Imports: pracma, MASS, rTensor, methods
Published: 2020-03-20
Author: Chanwoo Lee, Miaoyan Wang
Maintainer: Chanwoo Lee <chanwoo.lee at wisc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: tensorordinal results


Reference manual: tensorordinal.pdf
Package source: tensorordinal_0.1.0.tar.gz
Windows binaries: r-devel: tensorordinal_0.1.0.zip, r-release: tensorordinal_0.1.0.zip, r-oldrel: tensorordinal_0.1.0.zip
macOS binaries: r-release: tensorordinal_0.1.0.tgz, r-oldrel: tensorordinal_0.1.0.tgz


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