Package: SmoothTensor 0.1.1

Chanwoo Lee

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>.

Authors:Chanwoo Lee [aut, cre], Miaoyan Wang [aut]

SmoothTensor_0.1.1.tar.gz
SmoothTensor_0.1.1.tar.gz(r-4.5-noble)SmoothTensor_0.1.1.tar.gz(r-4.4-noble)
SmoothTensor_0.1.1.tgz(r-4.4-emscripten)SmoothTensor_0.1.1.tgz(r-4.3-emscripten)
SmoothTensor.pdf |SmoothTensor.html✨
SmoothTensor/json (API)

# Install 'SmoothTensor' in R:
install.packages('SmoothTensor', repos = 'https://cloud.r-project.org')
Datasets:
  • ltns - Chicago crime tensor dataset
  • mode_info - A list of mode information of the Chicago crime tensor dataset

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 174 downloads 6 exports 3 dependencies

Last updated 3 years agofrom:7288c51196. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-linuxNOTEMar 11 2025
R-4.4-linuxNOTEMar 11 2025

Exports:Borda_countLSEsimulationsimulation_asymsimulation_binSpectral

Dependencies:latticeMatrixrTensor

Citation

To cite package ‘SmoothTensor’ in publications use:

Lee C, Wang M (2021). SmoothTensor: A Collection of Smooth Tensor Estimation Methods. R package version 0.1.1, https://CRAN.R-project.org/package=SmoothTensor.

Corresponding BibTeX entry: 

  @Manual{,
    title = {SmoothTensor: A Collection of Smooth Tensor Estimation
      Methods},
    author = {Chanwoo Lee and Miaoyan Wang},
    year = {2021},
    note = {R package version 0.1.1},
    url = {https://CRAN.R-project.org/package=SmoothTensor},
  }