Package: MultiwayRegression Type: Package Title: Perform Tensor-on-Tensor Regression Version: 1.2 Date: 2019-05-28 Author: Eric F. Lock Maintainer: Eric F. Lock Description: 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) ]. Also includes functions to sample from the Bayesian posterior of a tensor-on-tensor model. License: GPL-3 Imports: MASS Depends: R(>= 2.10.0) NeedsCompilation: no Packaged: 2026-07-13 06:51:25 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2019-05-31 15:10:03 UTC RemoteUrl: https://github.com/cran/MultiwayRegression RemoteRef: HEAD RemoteSha: 60ff7e7928ea31b7ca6d68adc3da57614b33f911