Paket: r-cran-huge (1.3.5-2)

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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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Hämta r-cran-huge

Hämtningar för alla tillgängliga arkitekturer
Arkitektur	Paketstorlek	Installerad storlek	Filer
armel	1.366,7 kbyte	1.584,0 kbyte	[filförteckning]