Package: tensorregress 5.1
tensorregress: Supervised Tensor Decomposition with Side Information
Implement the alternating algorithm for supervised tensor decomposition with interactive side information. Details can be found in the publication Hu, Jiaxin, Chanwoo Lee, and Miaoyan Wang. "Generalized Tensor Decomposition with features on multiple modes." Journal of Computational and Graphical Statistics, Vol. 31, No. 1, 204-218, 2022 <doi:10.1080/10618600.2021.1978471>.
Authors:
tensorregress_5.1.tar.gz
tensorregress_5.1.zip(r-4.5)tensorregress_5.1.zip(r-4.4)tensorregress_5.1.zip(r-4.3)
tensorregress_5.1.tgz(r-4.5-any)tensorregress_5.1.tgz(r-4.4-any)tensorregress_5.1.tgz(r-4.3-any)
tensorregress_5.1.tar.gz(r-4.5-noble)tensorregress_5.1.tar.gz(r-4.4-noble)
tensorregress_5.1.tgz(r-4.4-emscripten)tensorregress_5.1.tgz(r-4.3-emscripten)
tensorregress.pdf |tensorregress.html✨
tensorregress/json (API)
| # Install 'tensorregress' in R: |
| install.packages('tensorregress', repos = c('https://jhu267.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:c132e41d07. Checks:3 OK, 6 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 12 2025 |
| R-4.5-win | NOTE | Mar 12 2025 |
| R-4.5-mac | NOTE | Mar 12 2025 |
| R-4.5-linux | NOTE | Mar 12 2025 |
| R-4.4-win | NOTE | Mar 12 2025 |
| R-4.4-mac | NOTE | Mar 12 2025 |
| R-4.4-linux | NOTE | Mar 12 2025 |
| R-4.3-win | OK | Mar 12 2025 |
| R-4.3-mac | OK | Mar 12 2025 |
Exports:as.tensorfoldhosvdkronecker_listrand_tensorsele_ranksim_datatensor_regressttlttmtuckerunfold
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Tensor Conversion | as.tensor |
| Mode Getter for Tensor | dim,Tensor-method dim-methods |
| General Folding of Matrix | fold |
| HCP data | HCP |
| (Truncated-)Higher-order SVD | hosvd |
| List Kronecker Product | kronecker_list |
| nations data | nations |
| Tensor with Random Entries | rand_tensor |
| Rank selection | sele_rank |
| Simulation of supervised tensor decomposition models | sim_data |
| Supervised Tensor Decomposition with Interactive Side Information | tensor_regress |
| S4 Class for a Tensor | Tensor Tensor-class |
| Tensor Times List | ttl |
| Tensor Matrix Product (m-Mode Product) | ttm |
| Tucker Decomposition | tucker |
| Tensor Unfolding | unfold unfold,Tensor-method unfold-methods |
