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
Author:	Eric F. Lock
Maintainer:	Eric F. Lock <elock at umn.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	MultiwayRegression results

Documentation:

Reference manual:

MultiwayRegression.pdf

Downloads:

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

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