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:Giulio Costantini, Nils Kappelmann, Sacha Epskamp

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.

1.00 score 1 stars 276 downloads 1 mentions 5 exports 89 dependencies

Last updated 4 years agofrom:24168d1d22. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 08 2025
R-4.5-linuxOKFeb 08 2025

Exports:BootTablecovNoBesselEstimateGroupNetworkGroupBootPlotGroupNetworkBoot

Dependencies:abindbackportsbase64encbslibcachemcheckmatecliclustercolorspacecorpcorcpp11data.tabledigestdplyrevaluatefansifarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclemagrittrMASSMatrixmemoisemgcvmimemnormtmunsellnlmennetnumDerivpbapplypbivnormpillarpkgconfigplyrpngpsychqgraphquadprogR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml