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Balík: 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.

Ostatné balíky súvisiace s balíkom r-cran-huge

  • závisí
  • odporúča
  • navrhuje
  • dep: libc6 (>= 2.29)
    GNU C Library: Shared libraries
    tiež virtuálny balík poskytovaný balíkom libc6-udeb
  • dep: libgcc-s1 (>= 3.3.1) [nie armhf]
    GCC support library
    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libgomp1 (>= 4.9)
    GCC OpenMP (GOMP) support library
  • dep: libstdc++6 (>= 5.2) [armhf]
    GNU Standard C++ Library v3
    dep: libstdc++6 (>= 9) [nie armhf]
  • dep: r-api-4.0
    virtuálny balík poskytovaný balíkom 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

Stiahnuť r-cran-huge

Stiahnuť pre všetky dostupné architektúry
Architektúra Veľkosť balíka Nainštalovaná veľkosť Súbory
amd64 1,369.5 kB1561 kB [zoznam súborov]
arm64 1,365.5 kB1549 kB [zoznam súborov]
armhf 1,366.0 kB1524 kB [zoznam súborov]
ppc64el 1,388.5 kB1608 kB [zoznam súborov]