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

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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
OS X binaries: r-release: MultiwayRegression_1.2.tgz, r-oldrel: MultiwayRegression_1.2.tgz

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