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 [issues need fixing before 2025-09-01] |
| Reference manual: | Tlasso.html , Tlasso.pdf |
| Vignettes: |
Tlasso (source, R code) |
| Package source: | Tlasso_1.0.2.tar.gz |
| Windows binaries: | r-devel: Tlasso_1.0.2.zip, r-release: Tlasso_1.0.2.zip, r-oldrel: Tlasso_1.0.2.zip |
| macOS binaries: | r-release (arm64): Tlasso_1.0.2.tgz, r-oldrel (arm64): Tlasso_1.0.2.tgz, r-release (x86_64): Tlasso_1.0.2.tgz, r-oldrel (x86_64): Tlasso_1.0.2.tgz |
| Old sources: | Tlasso archive |
| Reverse imports: | TransGraph, TransTGGM |
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