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Paket: r-cran-huge (1.3.5-1)

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.

r-cran-huge ile İlgili Diğer Paketler

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  • dep: libc6 (>= 2.29)
    GNU C Library: Shared libraries
    ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb
  • dep: libgcc-s1 (>= 3.3.1)
    GCC support library
  • dep: libgomp1 (>= 4.9)
    GCC OpenMP (GOMP) support library
  • dep: libstdc++6 (>= 9)
    GNU Standard C++ Library v3
  • dep: r-api-4.0
    sanal paketi sağlayan r-base-core
  • dep: r-base-core (>= 4.1.1-2)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-igraph
    GNU R network analysis and visualization
  • dep: r-cran-mass
    GNU R package of Venables and Ripley's MASS
  • dep: r-cran-matrix
    GNU R package of classes for dense and sparse matrices
  • dep: r-cran-rcpp
    GNU R package for Seamless R and C++ Integration
  • dep: r-cran-rcppeigen
    GNU R package for Eigen templated linear algebra

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Mimari Paket Boyutu Kurulu Boyut Dosyalar
arm64 1.365,5 kB1549 kB [dosya listesi]