SmoothTensor: A Collection of Smooth Tensor Estimation Methods

A list of methods for estimating a smooth tensor with an unknown permutation. It also contains several multi-variate functions for generating permuted signal tensors and corresponding observed tensors. For a detailed introduction for the model and estimation techniques, see the paper by Chanwoo Lee and Miaoyan Wang (2021) "Smooth tensor estimation with unknown permutations" <doi:10.48550/arXiv.2111.04681>.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: methods, Matrix, rTensor
Published: 2021-11-16
DOI: 10.32614/CRAN.package.SmoothTensor
Author: Chanwoo Lee [aut, cre], Miaoyan Wang [aut]
Maintainer: Chanwoo Lee <chanwoo.lee at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SmoothTensor results


Reference manual: SmoothTensor.pdf


Package source: SmoothTensor_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SmoothTensor_0.1.1.tgz, r-oldrel (arm64): SmoothTensor_0.1.1.tgz, r-release (x86_64): SmoothTensor_0.1.1.tgz, r-oldrel (x86_64): SmoothTensor_0.1.1.tgz
Old sources: SmoothTensor archive


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