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:
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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:cbfd84298e. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-linux | OK | Nov 09 2024 |
Exports:Altoptbicfit_continuous_cpfit_continuous_tuckerfit_nonparaTfit_ordinallikelihoodpredict_ordinalrealization
Dependencies:MASSpracmatensorregress
