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Tlasso  

Non-Convex Optimization and Statistical Inference for Sparse Tensor Graphical Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Tlasso", "1.0.2")



Attach the package and use:
library("Tlasso")
Maintained by
Xiang Lyu
[Scholar Profile | Author Map]
First Published: 2016-09-19
Latest Update: 2022-02-01
Description:
An optimal alternating optimization algorithm for estimation of precision matrices of sparse tensor graphical models, and an efficient inference procedure for support recovery of the precision matrices.
How to cite:
Xiang Lyu (2016). Tlasso: Non-Convex Optimization and Statistical Inference for Sparse Tensor Graphical Models. R package version 1.0.2, https://cran.r-project.org/web/packages/Tlasso. Accessed 09 May. 2025.
Previous versions and publish date:
1.0.1 (2016-09-19 07:48)
Other packages that cited Tlasso R package
View Tlasso citation profile
Other R packages that Tlasso depends, imports, suggests or enhances
Complete documentation for Tlasso
Functions, R codes and Examples using the Tlasso R package
Some associated functions: ChainOmega . NeighborOmega . Tlasso.fit . Tlasso . Trnorm . biascor . covres . est.analysis . graph.pattern . infer.analysis . signal . varcor . 
Some associated R codes: ChainOmega.R . NeighborOmega.R . Tlasso.fit.R . Trnorm.R . biascor.R . covres.R . est.analysis.R . graph.pattern.R . infer.analysis.R . signal.R . varcor.R .  Full Tlasso package functions and examples
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