[R-pkg-team] Bug#940597: ITP: r-cran-huge -- GNU R high-dimensional undirected graph estimation

[Andreas Tille]

Package: wnpp
Severity: wishlist

Subject: ITP: r-cran-huge -- GNU R high-dimensional undirected graph estimation
Package: wnpp
Owner: Andreas Tille <tille at 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