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'))

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

Datasets:

FungusTreeNetwork - FungusTreeNetwork

On CRAN:

3.70 score 6 scripts 216 downloads 7 exports 124 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Oct 12 2024
R-4.5-win	WARNING	Oct 12 2024
R-4.5-linux	WARNING	Oct 12 2024
R-4.4-win	WARNING	Oct 12 2024
R-4.4-mac	WARNING	Oct 12 2024
R-4.3-win	WARNING	Oct 12 2024
R-4.3-mac	WARNING	Oct 12 2024

Exports:%>%get_adjacency get_block get_flextable plotSbm shinySbmApp visSbm

Dependencies:alluvial aricode askpass attempt base64enc blockmodels bslib cachem cli codetools colorspace colourpicker commonmark config cpp11 crayon crosstalk data.table diagram digest dplyr DT evaluate fansi farver fastmap flextable fontawesome fontBitstreamVera fontLiberation fontquiver fresh fs future future.apply gdtools generics ggplot2 globals glue golem GREMLINS gtable here highr htmltools htmlwidgets httpuv igraph isoband jquerylib jsonlite KernSmooth knitr labeling later lattice lava lazyeval lifecycle listenv magrittr MASS Matrix memoise mgcv mime miniUI munsell nlme numDeriv officer openssl parallelly patchwork pbmcapply pillar pkgconfig plyr prodlim progressr promises purrr R6 ragg rappdirs RColorBrewer Rcpp RcppArmadillo reshape2 rlang rmarkdown rprojroot rstudioapi sass sbm scales shape shiny shinyalert shinydashboard shinyjs sourcetools SQUAREM stringi stringr survival sys systemfonts textshaping tibble tidyselect tinytex utf8 uuid vctrs viridisLite visNetwork withr xfun xml2 xtable yaml zip

shinySBM package

Rendered fromShinySbmApp.Rmdusingknitr::rmarkdownon Oct 12 2024.

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
FungusTreeNetwork	FungusTreeNetwork
get_adjacency	get_adjacency
get_adjacency.default	get_adjacency.default
get_block generic	get_block
get_block.BipartiteSBM_fit method	get_block.BipartiteSBM_fit
get_block.SimpleSBM_fit method	get_block.SimpleSBM_fit
get_flextable	get_flextable
plotSbm	plotSbm
plotSbm.BipartiteSBM_fit Method	plotSbm.BipartiteSBM_fit
plotSbm.default Method	plotSbm.default
plotSbm.matrix Method	plotSbm.matrix
plotSbm.SimpleSBM_fit Method	plotSbm.SimpleSBM_fit
Run the Shiny Application	shinySbmApp
visSbm	visSbm
visSbm	visSbm.BipartiteSBM_fit
visSbm	visSbm.default
visSbm	visSbm.SimpleSBM_fit