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[ Source: r-cran-huge  ]

Package: r-cran-huge (1.3.5-2 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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Download for all available architectures
Architecture Version Package Size Installed Size Files
alpha (unofficial port) 1.3.5-1 1,368.5 kB1,618.0 kB [list of files]
amd64 1.3.5-2 1,382.1 kB1,617.0 kB [list of files]
arm64 1.3.5-2 1,370.8 kB1,609.0 kB [list of files]
armel 1.3.5-2 1,366.7 kB1,584.0 kB [list of files]
armhf 1.3.5-2 1,364.6 kB1,532.0 kB [list of files]
hppa (unofficial port) 1.3.5-2 1,374.0 kB1,614.0 kB [list of files]
i386 1.3.5-2 1,380.8 kB1,616.0 kB [list of files]
ia64 (unofficial port) 1.3.5-2 1,387.6 kB1,758.0 kB [list of files]
m68k (unofficial port) 1.3.5-2 1,367.2 kB1,575.0 kB [list of files]
mips64el 1.3.5-2 1,365.4 kB1,620.0 kB [list of files]
ppc64 (unofficial port) 1.3.5-2 1,377.6 kB1,675.0 kB [list of files]
ppc64el 1.3.5-2 1,398.8 kB1,737.0 kB [list of files]
riscv64 1.3.5-2 1,372.9 kB1,556.0 kB [list of files]
s390x 1.3.5-2 1,378.8 kB1,613.0 kB [list of files]
sh4 (unofficial port) 1.3.5-2 1,386.3 kB1,607.0 kB [list of files]
sparc64 (unofficial port) 1.3.5-2 1,362.0 kB2,445.0 kB [list of files]
x32 (unofficial port) 1.3.5-1 1,376.4 kB1,592.0 kB [list of files]