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[ Source: r-cran-huge  ]

Package: r-cran-huge (1.3.5-1 and others)

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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.

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Architecture Version Package Size Installed Size Files
amd64 1.3.5-1 b1 1,378.7 kB1,610.0 kB [list of files]
arm64 1.3.5-1 b1 1,367.9 kB1,610.0 kB [list of files]
armel 1.3.5-1 b1 1,364.5 kB1,609.0 kB [list of files]
armhf 1.3.5-1 b1 1,362.3 kB1,545.0 kB [list of files]
i386 1.3.5-1 b1 1,373.5 kB1,597.0 kB [list of files]
mips64el 1.3.5-1 b1 1,362.8 kB1,621.0 kB [list of files]
mipsel 1.3.5-1 b1 1,364.6 kB1,615.0 kB [list of files]
ppc64el 1.3.5-1 b1 1,383.5 kB1,674.0 kB [list of files]
s390x 1.3.5-1 b1 1,367.3 kB1,863.0 kB [list of files]