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'))

Peer review:

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

11 exports 1 stars 0.71 score 17 dependencies 2 dependents 23 scripts 219 downloads

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

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-linuxNOTEAug 22 2024

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 Aug 22 2024.

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