r-cran-huge binary package in Ubuntu Lunar riscv64
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-
the graphical lasso, and both methods can be further accelerated by the
lossy screening rule preselecting the neighborhood of each variable by
correlation thresholding.
Publishing history
Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
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2022-10-27 17:20:10 UTC | Published | Ubuntu Lunar riscv64 | release | universe | gnu-r | Optional | 1.3.5-1 | ||
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