Package: dcTensor 1.3.1
dcTensor: Discrete Matrix/Tensor Decomposition
Semi-Binary and Semi-Ternary Matrix Decomposition are performed based on Non-negative Matrix Factorization (NMF) and Singular Value Decomposition (SVD). For the details of the methods, see the reference section of GitHub README.md <https://github.com/rikenbit/dcTensor>.
Authors:
dcTensor_1.3.1.tar.gz
dcTensor_1.3.1.zip(r-4.7)dcTensor_1.3.1.zip(r-4.6)dcTensor_1.3.1.zip(r-4.5)
dcTensor_1.3.1.tgz(r-4.6-any)dcTensor_1.3.1.tgz(r-4.5-any)
dcTensor_1.3.1.tar.gz(r-4.7-any)dcTensor_1.3.1.tar.gz(r-4.6-any)
dcTensor_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dcTensor/json (API)
NEWS
| # Install 'dcTensor' in R: |
| install.packages('dcTensor', repos = c('https://rikenbit.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rikenbit/dctensor/issues
Last updated from:1171b2f330. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 206 | ||
| source / vignettes | OK | 230 | ||
| linux-release-x86_64 | OK | 186 | ||
| macos-release-arm64 | OK | 137 | ||
| macos-oldrel-arm64 | OK | 177 | ||
| windows-devel | OK | 141 | ||
| windows-release | OK | 143 | ||
| windows-oldrel | OK | 167 | ||
| wasm-release | OK | 115 |
Exports:djNMFdNMFdNMTFdNTDdNTFdPLSdsiNMFdSVDtoyModel
Dependencies:clicpp11dotCall64farverfieldsggplot2gluegtableisobandlabelinglatticelifecyclemapsMASSMatrixmisc3dnnTensorplot3DR6RANNRColorBrewerRcppRcppEigenrlangRSpectrarTensorS7scalesspamtagcloudvctrsVicusviridisLitewithr
Discretized Non-negative Matrix Factorization (dNMF)
Rendered fromdcTensor-1.Rmdusingknitr::rmarkdownon May 07 2026.Last update: 2023-06-23
Started: 2023-03-07
Discretized Non-negative Tri-Matrix Factorization (dNMTF)
Rendered fromdcTensor-2.Rmdusingknitr::rmarkdownon May 07 2026.Last update: 2024-05-11
Started: 2023-03-07
Discretized Singular Value Decomposition (dSVD)
Rendered fromdcTensor-3.Rmdusingknitr::rmarkdownon May 07 2026.Last update: 2024-05-12
Started: 2023-03-07
Discretized Simultaneous Non-negative Matrix Factrozation (dsiNMF)
Rendered fromdcTensor-4.Rmdusingknitr::rmarkdownon May 07 2026.Last update: 2024-05-12
Started: 2023-03-07
Discretized Joint Non-negative Matrix Factrozation (djNMF)
Rendered fromdcTensor-5.Rmdusingknitr::rmarkdownon May 07 2026.Last update: 2024-05-12
Started: 2023-03-07
Discretized Partial Least Squares (dPLS)
Rendered fromdcTensor-6.Rmdusingknitr::rmarkdownon May 07 2026.Last update: 2024-05-12
Started: 2023-03-07
Discretized Non-negative Tensor Factorization (dNTF)
Rendered fromdcTensor-7.Rmdusingknitr::rmarkdownon May 07 2026.Last update: 2024-05-12
Started: 2023-03-07
Discretized Non-negative Tucker Decomposition (dNTD)
Rendered fromdcTensor-8.Rmdusingknitr::rmarkdownon May 07 2026.Last update: 2024-05-12
Started: 2024-05-11
