eLxr packages [ bianca ]
[ ソース: r-cran-huge ]
パッケージ: r-cran-huge (1.3.5-2 など)
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.
その他の r-cran-huge 関連パッケージ
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- dep: libc6 (>= 2.29)
- GNU C Library: Shared libraries
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
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- dep: libgcc-s1 (>= 3.0)
- GCC support library
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- dep: libgomp1 (>= 4.9)
- GCC OpenMP (GOMP) support library
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- dep: libstdc++6 (>= 13.1) [amd64]
- GNU Standard C++ Library v3
- dep: libstdc++6 (>= 14) [arm64]
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- dep: r-api-4.0
- 以下のパッケージによって提供される仮想パッケージです: 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