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.

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>
License: GPL-3
NeedsCompilation: no
CRAN checks: MultiwayRegression results


Reference manual: MultiwayRegression.pdf


Package source: MultiwayRegression_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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 dependencies:

Reverse imports: TCIU


Please use the canonical form to link to this page.