Package: EstimateGroupNetwork 0.3.1
Giulio Costantini
EstimateGroupNetwork: Perform the Joint Graphical Lasso and Selects Tuning Parameters
Can be used to simultaneously estimate networks (Gaussian Graphical Models) in data from different groups or classes via Joint Graphical Lasso. Tuning parameters are selected via information criteria (AIC / BIC / extended BIC) or cross validation.
Authors:
EstimateGroupNetwork_0.3.1.tar.gz
EstimateGroupNetwork_0.3.1.tar.gz(r-4.5-noble)EstimateGroupNetwork_0.3.1.tar.gz(r-4.4-noble)
EstimateGroupNetwork_0.3.1.tgz(r-4.4-emscripten)EstimateGroupNetwork_0.3.1.tgz(r-4.3-emscripten)
EstimateGroupNetwork.pdf |EstimateGroupNetwork.html✨
EstimateGroupNetwork/json (API)
NEWS
| # Install 'EstimateGroupNetwork' in R: |
| install.packages('EstimateGroupNetwork', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:24168d1d22. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-linux | OK | Nov 10 2024 |
Exports:BootTablecovNoBesselEstimateGroupNetworkGroupBootPlotGroupNetworkBoot
Dependencies:abindbackportsbase64encbslibcachemcheckmatecliclustercolorspacecorpcorcpp11data.tabledigestdplyrevaluatefansifarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclemagrittrMASSMatrixmemoisemgcvmimemnormtmunsellnlmennetnumDerivpbapplypbivnormpillarpkgconfigplyrpngpsychqgraphquadprogR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml
