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 |
| DOI: | 10.32614/CRAN.package.MultiwayRegression |
| Author: | Eric F. Lock |
| Maintainer: | Eric F. Lock <elock at umn.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MultiwayRegression results |
| Reference manual: | MultiwayRegression.html , 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 |
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