Package: r-cran-huge (1.3.5-2) [debports]
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- Homepage [cran.r-project.org]
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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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Download r-cran-huge
Architecture | Package Size | Installed Size | Files |
---|---|---|---|
m68k (unofficial port) | 1,367.2 kB | 1,575.0 kB | [list of files] |