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) ]. Also includes functions to sample from the Bayesian posterior of a tensor-on-tensor model.


Reference manual

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1.2 by Eric F. Lock, 2 years ago

Browse source code at

Authors: Eric F. Lock

Documentation:   PDF Manual  

GPL-3 license

Imports MASS

See at CRAN