Package: MultiwayRegression 1.2
Eric F. Lock
MultiwayRegression: Perform Tensor-on-Tensor Regression
Functions to predict one multi-way array (i.e., a tensor) from another multi-way array, using a low-rank CANDECOMP/PARAFAC (CP) factorization and a ridge (L_2) penalty [Lock, EF (2018) <doi:10.1080/10618600.2017.1401544>]. Also includes functions to sample from the Bayesian posterior of a tensor-on-tensor model.
Authors:
MultiwayRegression_1.2.tar.gz
MultiwayRegression_1.2.tar.gz(r-4.5-noble)MultiwayRegression_1.2.tar.gz(r-4.4-noble)
MultiwayRegression_1.2.tgz(r-4.4-emscripten)MultiwayRegression_1.2.tgz(r-4.3-emscripten)
MultiwayRegression.pdf |MultiwayRegression.html✨
MultiwayRegression/json (API)
| # Install 'MultiwayRegression' in R: |
| install.packages('MultiwayRegression', 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 5 years agofrom:60ff7e7928. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 15 2024 |
| R-4.5-linux | OK | Nov 15 2024 |
Dependencies:MASS
