Package: shinySbm 0.1.5

Theodore Vanrenterghem

shinySbm: 'shiny' Application to Use the Stochastic Block Model

A 'shiny' interface for a simpler use of the 'sbm' R package. It also contains useful functions to easily explore the 'sbm' package results. With this package you should be able to use the stochastic block model without any knowledge in R, get automatic reports and nice visuals, as well as learning the basic functions of 'sbm'.

Authors:Theodore Vanrenterghem [cre, aut], Julie Aubert [aut], Saint-Clair Chabert-Liddell [aut], großBM team [ctb], Golem User [cph]

shinySbm_0.1.5.tar.gz
shinySbm_0.1.5.zip(r-4.5)shinySbm_0.1.5.zip(r-4.4)shinySbm_0.1.5.zip(r-4.3)
shinySbm_0.1.5.tgz(r-4.4-any)shinySbm_0.1.5.tgz(r-4.3-any)
shinySbm_0.1.5.tar.gz(r-4.5-noble)shinySbm_0.1.5.tar.gz(r-4.4-noble)
shinySbm_0.1.5.tgz(r-4.4-emscripten)shinySbm_0.1.5.tgz(r-4.3-emscripten)
shinySbm.pdf |shinySbm.html
shinySbm/json (API)

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

Peer review:

Bug tracker:https://github.com/jo-theo/shinysbm/issues

Datasets:

On CRAN:

3.70 score 6 scripts 221 downloads 7 exports 124 dependencies

Last updated 1 years agofrom:8129e0506d. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winWARNINGNov 11 2024
R-4.5-linuxWARNINGNov 11 2024
R-4.4-winWARNINGNov 11 2024
R-4.4-macWARNINGNov 11 2024
R-4.3-winWARNINGNov 11 2024
R-4.3-macWARNINGNov 11 2024

Exports:%>%get_adjacencyget_blockget_flextableplotSbmshinySbmAppvisSbm

Dependencies:alluvialaricodeaskpassattemptbase64encblockmodelsbslibcachemclicodetoolscolorspacecolourpickercommonmarkconfigcpp11crayoncrosstalkdata.tablediagramdigestdplyrDTevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverfreshfsfuturefuture.applygdtoolsgenericsggplot2globalsgluegolemGREMLINSgtableherehighrhtmltoolshtmlwidgetshttpuvigraphisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalazyevallifecyclelistenvmagrittrMASSMatrixmemoisemgcvmimeminiUImunsellnlmenumDerivofficeropensslparallellypatchworkpbmcapplypillarpkgconfigplyrprodlimprogressrpromisespurrrR6raggrappdirsRColorBrewerRcppRcppArmadilloreshape2rlangrmarkdownrprojrootrstudioapisasssbmscalesshapeshinyshinyalertshinydashboardshinyjssourcetoolsSQUAREMstringistringrsurvivalsyssystemfontstextshapingtibbletidyselecttinytexutf8uuidvctrsviridisLitevisNetworkwithrxfunxml2xtableyamlzip

shinySBM package

Rendered fromShinySbmApp.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2023-09-05
Started: 2023-09-01

Readme and manuals

Help Manual

Help pageTopics
FungusTreeNetworkFungusTreeNetwork
get_adjacencyget_adjacency
get_adjacency.defaultget_adjacency.default
get_block genericget_block
get_block.BipartiteSBM_fit methodget_block.BipartiteSBM_fit
get_block.SimpleSBM_fit methodget_block.SimpleSBM_fit
get_flextableget_flextable
plotSbmplotSbm
plotSbm.BipartiteSBM_fit MethodplotSbm.BipartiteSBM_fit
plotSbm.default MethodplotSbm.default
plotSbm.matrix MethodplotSbm.matrix
plotSbm.SimpleSBM_fit MethodplotSbm.SimpleSBM_fit
Run the Shiny ApplicationshinySbmApp
visSbmvisSbm
visSbmvisSbm.BipartiteSBM_fit
visSbmvisSbm.default
visSbmvisSbm.SimpleSBM_fit