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CRAN: Package Tlasso

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.

Version: 1.0.2 Depends: R (≥ 3.1.1) Imports: huge, expm, rTensor, igraph, stats, graphics Suggests: knitr, rmarkdown Published: 2022-02-01 DOI: 10.32614/CRAN.package.Tlasso Author: Xiang Lyu, Will Wei Sun, Zhaoran Wang, Han Liu, Jian Yang, Guang Cheng Maintainer: Xiang Lyu <xianglyu at berkeley.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no CRAN checks: Tlasso results Documentation: Downloads: Reverse dependencies: Linking:

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