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-4.7-any)EstimateGroupNetwork_0.3.1.tar.gz(r-4.6-any)
EstimateGroupNetwork_0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
EstimateGroupNetwork/json (API)
NEWS

# Install 'EstimateGroupNetwork' in R:
install.packages('EstimateGroupNetwork', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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 6 scripts 410 downloads 1 mentions 5 exports 86 dependencies

Last updated from:24168d1d22. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK162
source / vignettesOK196
linux-release-x86_64OK163
wasm-releaseOK129

Exports:BootTablecovNoBesselEstimateGroupNetworkGroupBootPlotGroupNetworkBoot

Dependencies:abindbackportsbase64encbslibcachemcheckmatecliclustercolorspacecorpcorcpp11data.tabledigestdplyrevaluatefarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclemagrittrMASSMatrixmemoisemimemnormtnlmennetnumDerivpbapplypbivnormpillarpkgconfigplyrpngpsychqgraphquadprogR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownrpartrstudioapiS7sassscalesstringistringrtibbletidyselecttinytexutf8vctrsviridisLitewithrxfunyaml