Tarkennettu haku
bullseye  ] [  bookworm  ] [  trixie  ] [  sid  ]
[ Source: r-cran-huge  ]

Paketti: r-cran-huge (1.3.5-2)

Links for r-cran-huge

Screenshot

Debian-palvelut:

Imuroi lähdekoodipaketti r-cran-huge:

Ylläpitäjät:

External Resources:

Samankaltaisia paketteja:

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.

Muut pakettiin r-cran-huge liittyvät paketit

  • depends
  • recommends
  • suggests
  • enhances

Imuroi r-cran-huge

Imurointi kaikille saataville arkkitehtuureille
Arkkitehtuuri Paketin koko Koko asennettuna Tiedostot
arm64 1,370.8 kt1,609.0 kt [tiedostoluettelo]