Пакет: r-cran-huge (1.3.5-2)

Връзки за r-cran-huge

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Изтегляне на пакет-източник r-cran-huge.

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Начална страница [cran.r-project.org]

Подобни пакети:

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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зависимости

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предложени

enhances

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Архитектура	Големина на пакета	Големина след инсталиране	Файлове
armel	1 366,7 кБ	1 584,0 кБ	[списък на файловете]