Package: wnpp Severity: wishlist Subject: ITP: r-cran-huge -- GNU R high-dimensional undirected graph estimation Package: wnpp Owner: Andreas Tille <ti...@debian.org> Severity: wishlist
* Package name : r-cran-huge Version : 1.3.3 Upstream Author : Haoming Jiang, Xinyu Fei, Han Liu, Kathryn Roeder, John Lafferty, Larry * URL : https://cran.r-project.org/package=huge * License : GPL-2 Programming Lang: GNU R Description : GNU R high-dimensional undirected graph estimation Provides a general framework for high-dimensional undirected graph estimation. It integrates data preprocessing, neighborhood screening, graph estimation, and model selection techniques into a pipeline. In preprocessing stage, the nonparanormal(npn) transformation is applied to help relax the normality assumption. In the graph estimation stage, the graph structure is estimated by Meinshausen-Buhlmann graph estimation or the graphical lasso, and both methods can be further accelerated by the lossy screening rule preselecting the neighborhood of each variable by correlation thresholding. Remark: This package is maintained by Debian R Packages Maintainers at https://salsa.debian.org/r-pkg-team/r-cran-huge