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[ 原始碼: r-cran-huge  ]

套件: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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硬體架構 套件大小 安裝後大小 檔案
amd64 1,382。1 kB1,617。0 kB [檔案列表]
arm64 1,370。8 kB1,609。0 kB [檔案列表]
armel 1,366。7 kB1,584。0 kB [檔案列表]
armhf 1,364。6 kB1,532。0 kB [檔案列表]
i386 1,380。8 kB1,616。0 kB [檔案列表]
mips64el 1,365。4 kB1,620。0 kB [檔案列表]
ppc64el 1,398。8 kB1,737。0 kB [檔案列表]
s390x 1,378。8 kB1,613。0 kB [檔案列表]