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MultiwayRegression  

Perform Tensor-on-Tensor Regression
View on CRAN: Click here


Download and install MultiwayRegression package within the R console
Install from CRAN:
install.packages("MultiwayRegression")

Install from Github:
library("remotes")
install_github("cran/MultiwayRegression")

Install by package version:
library("remotes")
install_version("MultiwayRegression", "1.2")



Attach the package and use:
library("MultiwayRegression")
Maintained by
Eric F. Lock
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-31
Latest Update: 2019-05-31
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.
How to cite:
Eric F. Lock (2019). MultiwayRegression: Perform Tensor-on-Tensor Regression. R package version 1.2, https://cran.r-project.org/web/packages/MultiwayRegression. Accessed 06 Jun. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for MultiwayRegression
Functions, R codes and Examples using the MultiwayRegression R package
Some associated functions: MultiwayRegression-package . SimData . X . Y . ctprod . rrr . rrrBayes . 
Some associated R codes: ctprod.R . rrr.R . rrrBayes.R .  Full MultiwayRegression package functions and examples
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