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: | 1.0.1 |
Depends: | R (≥ 3.1.1) |
Imports: | huge, expm, rTensor, igraph, stats, graphics |
Suggests: | knitr, rmarkdown |
Published: | 2016-09-19 |
Author: | Will Wei Sun, Zhaoran Wang, Xiang Lyu, Han Liu, Guang Cheng |
Maintainer: | Xiang Lyu <lyu17 at purdue.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | Tlasso results |
Reference manual: | Tlasso.pdf |
Vignettes: |
Tlasso |
Package source: | Tlasso_1.0.1.tar.gz |
Windows binaries: | r-devel: Tlasso_1.0.1.zip, r-release: Tlasso_1.0.1.zip, r-oldrel: Tlasso_1.0.1.zip |
macOS binaries: | r-release: Tlasso_1.0.1.tgz, r-oldrel: Tlasso_1.0.1.tgz |
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