Tlasso

Non-Convex Optimization and Statistical Inference for Sparse Tensor Graphical Models

Installation

About

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.

Key Metrics

Version	1.0.2
R	≥ 3.1.1
Published	2022-02-01 412 days ago
Needs compilation?	no
License	GPL-2
License	GPL-3
CRAN checks	Tlasso results

Downloads

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Last 365 days	3.130 +53%

Maintainer

Xiang Lyu

xianglyu@berkeley.edu

Authors

Xiang Lyu
Will Wei Sun
Zhaoran Wang
Han Liu
Jian Yang
Guang Cheng

Material

Reference manual
Package source

Vignettes

Tlasso

macOS

r-release	arm64
r-oldrel	arm64
r-release	x86_64
r-oldrel	x86_64

Windows

r-devel	x86_64
r-release	x86_64
r-oldrel	x86_64

Old Sources

Tlasso archive

Depends

≥ 3.1.1

Imports

huge
expm
rTensor
igraph
stats
graphics

Suggests

knitr
rmarkdown