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.

3.14 score 1 stars 2 packages 23 scripts 180 downloads 11 exports 17 dependencies

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

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linuxNOTENov 20 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 Nov 20 2024.

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