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MultiwayRegression
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
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[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 29 May. 2025.
Previous versions and publish date:
No previous versions
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Other R packages that MultiwayRegression depends,
imports, suggests or enhances
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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