The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 1.2 |
| Depends: | R (≥ 2.10.0) |
| Imports: | MASS |
| Published: | 2019-05-31 |
| Author: | Eric F. Lock |
| Maintainer: | Eric F. Lock <elock at umn.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MultiwayRegression results |
| Reference manual: | MultiwayRegression.pdf |
| Package source: | MultiwayRegression_1.2.tar.gz |
| Windows binaries: | r-devel: MultiwayRegression_1.2.zip, r-release: MultiwayRegression_1.2.zip, r-oldrel: MultiwayRegression_1.2.zip |
| macOS binaries: | r-release (arm64): MultiwayRegression_1.2.tgz, r-oldrel (arm64): MultiwayRegression_1.2.tgz, r-release (x86_64): MultiwayRegression_1.2.tgz, r-oldrel (x86_64): MultiwayRegression_1.2.tgz |
| Reverse imports: | TCIU |
Please use the canonical form https://CRAN.R-project.org/package=MultiwayRegression to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.