[ Source: r-cran-huge ]
Package: r-cran-huge (1.3.5-2)
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Download Source Package r-cran-huge:
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External Resources:
- Homepage [cran.r-project.org]
Similar packages:
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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Download r-cran-huge
| Architecture | Package Size | Installed Size | Files |
|---|---|---|---|
| amd64 | 1,382.1 kB | 1,617.0 kB | [list of files] |