Provides three estimators for tensor response regression (TRR) and tensor predictor regression (TPR) models with tensor envelope structure. The three types of estimation approaches are generic and can be applied to any envelope estimation problems. The full Grassmannian (FG) optimization is often associated with likelihoodbased estimation but requires heavy computation and good initialization; the onedirectional optimization approaches (1D and ECD algorithms) are faster, stable and does not require carefully chosen initial values; the SIMPLStype is motivated by the partial least squares regression and is computationally the least expensive.
Package details 


Author  Wenjing Wang [aut, cre] <[email protected]>, Xin Zhang [aut, cre] <[email protected]> 
Maintainer  Wenjing Wang <[email protected]> 
License  GPL3 
Version  0.1.0 
Package repository  View on CRAN 
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