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Pakket: r-cran-huge (1.3.4-1build1)

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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    dep: libgcc-s1 (>= 3.5) [armhf]
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r-cran-huge downloaden

Pakket downloaden voor alle beschikbare platforms
Platform Pakketgrootte Geïnstalleerde grootte Bestanden
amd64 1.598,2 kB1902 kB [overzicht]
armhf 1.582,4 kB1817 kB [overzicht]