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" <arXiv:2111.04681>.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: methods, Matrix, rTensor
Published: 2021-11-16
Author: Chanwoo Lee [aut, cre], Miaoyan Wang [aut]
Maintainer: Chanwoo Lee <chanwoo.lee at wisc.edu>
License: GPL-3
URL: https://arxiv.org/abs/2111.04681
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SmoothTensor results

Documentation:

Reference manual: SmoothTensor.pdf

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

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