Package: Tlasso 1.0.2

Xiang Lyu

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

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.

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

Tlasso_1.0.2.tar.gz
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Tlasso.pdf |Tlasso.html✨
Tlasso/json (API)

# Install 'Tlasso' in R:
install.packages('Tlasso', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.23 score 1 stars 2 packages 28 scripts 227 downloads 11 exports 17 dependencies

Last updated 3 years agofrom:295acab4e5. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-linuxNOTEFeb 18 2025

Exports:biascorChainOmegacovresest.analysisgraph.patterninfer.analysisNeighborOmegasignalTlasso.fitTrnormvarcor

Dependencies:clicpp11expmgluehugeigraphlatticelifecyclemagrittrMASSMatrixpkgconfigRcppRcppEigenrlangrTensorvctrs

Package "Tlasso"

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

Rendered fromTlasso.Rmdusingknitr::rmarkdownon Feb 18 2025.

Last update: 2022-02-01
Started: 2016-09-19