Package: TensorComplete 0.2.0

Chanwoo Lee

TensorComplete: Tensor Noise Reduction and Completion Methods

Efficient algorithms for tensor noise reduction and completion. This package includes a suite of parametric and nonparametric tools for estimating tensor signals from noisy, possibly incomplete observations. The methods allow a broad range of data types, including continuous, binary, and ordinal-valued tensor entries. The algorithms employ the alternating optimization. The detailed algorithm description can be found in the following three references.

Authors:Chanwoo Lee <chanwoo.lee@wisc.edu>, Miaoyan Wang <miaoyan.wang@wisc.edu>

TensorComplete_0.2.0.tar.gz
TensorComplete_0.2.0.tar.gz(r-4.5-noble)TensorComplete_0.2.0.tar.gz(r-4.4-noble)
TensorComplete_0.2.0.tgz(r-4.4-emscripten)TensorComplete_0.2.0.tgz(r-4.3-emscripten)
TensorComplete.pdf |TensorComplete.html✨
TensorComplete/json (API)

# Install 'TensorComplete' in R:
install.packages('TensorComplete', repos = 'https://cloud.r-project.org')

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 216 downloads 9 exports 3 dependencies

Last updated 2 years agofrom:cbfd84298e. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-linuxOKMar 09 2025
R-4.4-linuxOKMar 09 2025

Exports:Altoptbicfit_continuous_cpfit_continuous_tuckerfit_nonparaTfit_ordinallikelihoodpredict_ordinalrealization

Dependencies:MASSpracmatensorregress

Citation

To cite package ‘TensorComplete’ in publications use:

Lee C, Wang M (2023). TensorComplete: Tensor Noise Reduction and Completion Methods. R package version 0.2.0, https://CRAN.R-project.org/package=TensorComplete.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {TensorComplete: Tensor Noise Reduction and Completion
      Methods},
    author = {Chanwoo Lee and Miaoyan Wang},
    year = {2023},
    note = {R package version 0.2.0},
    url = {https://CRAN.R-project.org/package=TensorComplete},
  }