Other packages > Find by keyword >

TRES  

Tensor Regression with Envelope Structure
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("TRES", "1.1.5")



Attach the package and use:
library("TRES")
Maintained by
Jing Zeng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-26
Latest Update: 2021-10-20
Description:
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 likelihood-based estimation but requires heavy computation and good initialization; the one-directional optimization approaches (1D and ECD algorithms) are faster, stable and does not require carefully chosen initial values; the SIMPLS-type is motivated by the partial least squares regression and is computationally the least expensive. For details of TRR, see Li L, Zhang X (2017) <doi:10.1080/01621459.2016.1193022>. For details of TPR, see Zhang X, Li L (2017) <doi:10.1080/00401706.2016.1272495>. For details of 1D algorithm, see Cook RD, Zhang X (2016) <doi:10.1080/10618600.2015.1029577>. For details of ECD algorithm, see Cook RD, Zhang X (2018) <doi:10.5705/ss.202016.0037>. For more details of the package, see Zeng J, Wang W, Zhang X (2021) <doi:10.18637/jss.v099.i12>.
How to cite:
Jing Zeng (2018). TRES: Tensor Regression with Envelope Structure. R package version 1.1.5, https://cran.r-project.org/web/packages/TRES. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:27), 0.1.0 (2018-11-26 21:20), 1.0.0 (2019-10-22 10:20), 1.1.0 (2019-11-17 15:20), 1.1.1 (2020-02-05 10:50), 1.1.2 (2020-07-23 23:00), 1.1.3 (2020-10-16 08:20), 1.1.4 (2021-06-25 09:50)
Other packages that cited TRES R package
View TRES citation profile
Other R packages that TRES depends, imports, suggests or enhances
Complete documentation for TRES
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA