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[ Bron: r-cran-huge ]
Pakket: r-cran-huge (1.3.5-1)
Verwijzigingen voor r-cran-huge
Trisquel bronnen:
Het bronpakket r-cran-huge downloaden:
Beheerder:
Original Maintainers:
- Debian R Packages Maintainers
- Andreas Tille
- Joost van Baal-Ilić
Externe bronnen:
- Homepage [cran.r-project.org]
Vergelijkbare pakketten:
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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