R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
TRES
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]
[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 22 Dec. 2024.
Previous versions and publish date:
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
Functions, R codes and Examples using
the TRES R package
Some associated functions: ECD . EEG . FGfun . MenvU_sim . OptM1D . OptMFG . OptStiefelGBB . PMSE . TPR.fit . TPRdim . TPRsim . TRES-package . TRR.fit . TRRdim . TRRsim . Tenv_Pval . bat . kroncov . manifold1D . manifoldFG . oneD_bic . plot.Tenv . predict.Tenv . simplsMU . square . std_err . subspace . summary.Tenv . ttt .
Some associated R codes: 1Dfunctions.R . ECD.R . EEG.R . FGfun.R . MenvU_sim.R . OptM1D.R . OptMFG.R . OptStiefelGBB.R . PMSE.R . TPR.fit.R . TPRdim.R . TPRsim.R . TRES-package.R . TRR.fit.R . TRRdim.R . TRRsim.R . Tenv_Pval.R . bat.R . kroncov.R . manifold1D.R . manifoldFG.R . oneD_bic.R . plot.Tenv.R . predict.Tenv.R . print.Tenv.R . show.R . simplsMU.R . square.R . std_err.R . subspace.R . summary.Tenv.R . ttt.R . vcov.Tenv.R . Full TRES package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
LOGANTree
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Qi Qin (view profile)
composits
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sevvandi Kandanaarachchi (view profile)
wordspace
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stephanie Evert (view profile)
Rfast2
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Manos Papadakis (view profile)
elect
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ardo van den Hout (view profile)