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[ 源代码: r-cran-huge  ]

软件包:r-cran-huge(1.3.4-1)

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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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硬件架构 软件包大小 安装后大小 文件
amd64 1,598.6 kB1,902.0 kB [文件列表]
arm64 1,587.8 kB1,874.0 kB [文件列表]
armel 1,584.7 kB1,865.0 kB [文件列表]
armhf 1,582.5 kB1,821.0 kB [文件列表]
i386 1,592.6 kB1,885.0 kB [文件列表]
mips64el 1,584.1 kB1,895.0 kB [文件列表]
mipsel 1,584.4 kB1,886.0 kB [文件列表]
ppc64el 1,600.4 kB1,974.0 kB [文件列表]
s390x 1,585.9 kB1,882.0 kB [文件列表]