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Pakiet: r-cran-huge (1.3.4-1build1)

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.

Inne pakiety związane z r-cran-huge

  • wymaga
  • poleca
  • sugeruje
  • dep: libc6 (>= 2.29)
    GNU C Library: Shared libraries
    również pakiet wirtualny udostępniany przez libc6-udeb
  • dep: libgcc-s1 (>= 3.0) [amd64]
    GCC support library
    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libgomp1 (>= 4.9)
    GCC OpenMP (GOMP) support library
  • dep: libstdc++6 (>= 5.2)
    GNU Standard C++ Library v3
  • dep: r-api-3.5
    pakiet wirtualny udostępniany przez r-base-core
  • dep: r-base-core (>= 3.6.2.20200221-1build1)
    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

Pobieranie r-cran-huge

Pobierz dla wszystkich dostępnych architektur
Architektura Rozmiar pakietu Rozmiar po instalacji Pliki
amd64 1 598,2 KiB1902 KiB [lista plików]
armhf 1 582,4 KiB1817 KiB [lista plików]