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: 1.0.1
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

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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
OS X Mavericks binaries: r-release: Tlasso_1.0.1.tgz, r-oldrel: Tlasso_1.0.1.tgz

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