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'))

Peer review:

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 9 scripts 264 downloads 1 mentions 5 exports 89 dependencies

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

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-linuxOKDec 10 2024

Exports:BootTablecovNoBesselEstimateGroupNetworkGroupBootPlotGroupNetworkBoot

Dependencies:abindbackportsbase64encbslibcachemcheckmatecliclustercolorspacecorpcorcpp11data.tabledigestdplyrevaluatefansifarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclemagrittrMASSMatrixmemoisemgcvmimemnormtmunsellnlmennetnumDerivpbapplypbivnormpillarpkgconfigplyrpngpsychqgraphquadprogR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml