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Pakket: r-cran-huge (1.3.5-1 en anderen)

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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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Pakket downloaden voor alle beschikbare platforms
Platform Versie Pakketgrootte Geïnstalleerde grootte Bestanden
amd64 1.3.5-1+b1 1.378,7 kB1.610,0 kB [overzicht]
arm64 1.3.5-1+b1 1.367,9 kB1.610,0 kB [overzicht]
armel 1.3.5-1+b1 1.364,5 kB1.609,0 kB [overzicht]
armhf 1.3.5-1+b1 1.362,3 kB1.545,0 kB [overzicht]
i386 1.3.5-1+b1 1.373,5 kB1.597,0 kB [overzicht]
mips64el 1.3.5-1+b1 1.362,8 kB1.621,0 kB [overzicht]
mipsel 1.3.5-1+b1 1.364,6 kB1.615,0 kB [overzicht]
ppc64el 1.3.5-1+b1 1.383,5 kB1.674,0 kB [overzicht]
s390x 1.3.5-1+b1 1.367,3 kB1.594,0 kB [overzicht]