[ 原始碼： r-cran-huge ]
套件：r-cran-huge（1.3.5-2）
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.
其他與 r-cran-huge 有關的套件
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- dep: libc6 (>= 2.29)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libgcc-s1 (>= 3.5)
- GCC 支援函式庫
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- dep: libgomp1 (>= 4.9)
- GCC OpenMP (GOMP) support library
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- dep: libstdc 6 (>= 13.1)
- GNU Standard C Library v3
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-cran-igraph
- GNU R network analysis and visualization
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- dep: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- dep: r-cran-matrix
- GNU R package of classes for dense and sparse matrices
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- dep: r-cran-rcpp
- GNU R package for Seamless R and C Integration
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- dep: r-cran-rcppeigen
- GNU R package for Eigen templated linear algebra