Package: easybgm 0.5.1

Karoline Huth

easybgm: Extracting and Visualizing Bayesian Graphical Models

Fit and visualize the results of a Bayesian analysis of networks commonly found in psychology. The package supports cross-sectional network models for ordinal, binary, continuous, and mixed data, fitted using the packages 'bgms' (default), 'BDgraph', and 'BGGM', as well as network comparison tests fitted using the packages 'bgms' and 'BGGM'. The package provides the parameter estimates, posterior inclusion probabilities, inclusion Bayes factor, and the posterior density of the parameters. In addition, for 'BDgraph' and 'bgms' it allows to assess the posterior structure space. Furthermore, the package comes with an extensive suite for visualizing results.

Authors:Karoline Huth [aut, cre], Sara Keetelaar [ctb], Nikola Sekulovski [ctb], Gali Geller [ctb]

easybgm_0.5.1.tar.gz
easybgm_0.5.1.zip(r-4.7-any)easybgm_0.5.1.zip(r-4.6-any)easybgm_0.5.1.zip(r-4.5-any)
easybgm_0.5.1.tgz(r-4.6-any)easybgm_0.5.1.tgz(r-4.5-any)
easybgm_0.5.1.tar.gz(r-4.7-any)easybgm_0.5.1.tar.gz(r-4.6-any)
easybgm_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
easybgm/json (API)

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

Bug tracker:https://github.com/karolinehuth/easybgm/issues

On CRAN:

Conda:

6.30 score 6 stars 95 scripts 526 downloads 11 exports 173 dependencies

Last updated from:ba79bd55d1. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK860
source / vignettesOK300
linux-releaseOK1065
macos-releaseOK299
macos-oldrelOK218
windows-develOK230
windows-releaseOK241
windows-oldrelOK246
wasm-releaseOK196

Exports:clusterBayesfactoreasybgmeasybgm_compareplot_centralityplot_complexity_probabilitiesplot_edgeevidenceplot_networkplot_parameterHDIplot_prior_sensitivityplot_structureplot_structure_probabilities

Dependencies:abindbackportsbainbase64encBDgraphBergmberryFunctionsBFpackBGGMbgmsBHbootbridgesamplingBrobdingnagbslibcachemcallrcheckmatecliclustercodacolorspacecorpcorcpp11crayondata.tableDEoptimRdescdigestdistributionaldplyrdqrngergmevaluatefarverfastmapfdrtoolfontawesomeforcatsforeignFormulafsgenericsGGallyggplot2ggridgesggstatsglassoglueGPArotationgridExtragslgtablegtoolsHDIntervalhighrHmischmshtmlTablehtmltoolshtmlwidgetsigraphinlineisobandjpegjquerylibjsonliteknitrlabelingLaplacesDemonlatticelavaanlifecyclelme4logsplineloolpSolveAPImagrittrMASSMatrixmatrixcalcMatrixModelsmatrixStatsmcmcMCMCpackmemoisemetaBMAmgcvmimeminqamnormtmvnfastmvtnormnetworknlmenloptrnnetnumDerivotelpatchworkpbapplypbivnormpillarpkgbuildpkgconfigplyrpngposteriorpracmaprettyunitspROCprocessxprogresspspsychpurrrqgraphQRMquadprogquantregQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppDistRcppEigenRcppParallelRcppProgressRdpackreformulasreshapereshape2RglpkrlangrlermarkdownrobustbaserpartrstanrstantoolsrstudioapiS7sandwichsassscalessitmoslamsnaSparseMStanHeadersstatnet.commonstringistringrsurvivaltensorAtibbletidyrtidyselecttimeDatetimeSeriestinytextruncnormtrustutf8vctrsviridisLitewithrxfunyamlzoo