Package: bnviewer 0.1.6
bnviewer: Bayesian Networks Interactive Visualization and Explainable Artificial Intelligence
Bayesian networks provide an intuitive framework for probabilistic reasoning and its graphical nature can be interpreted quite clearly. Graph based methods of machine learning are becoming more popular because they offer a richer model of knowledge that can be understood by a human in a graphical format. The 'bnviewer' is an R Package that allows the interactive visualization of Bayesian Networks. The aim of this package is to improve the Bayesian Networks visualization over the basic and static views offered by existing packages.
Authors:
bnviewer_0.1.6.tar.gz
bnviewer_0.1.6.zip(r-4.5)bnviewer_0.1.6.zip(r-4.4)
bnviewer_0.1.6.tgz(r-4.5-any)bnviewer_0.1.6.tgz(r-4.4-any)
bnviewer_0.1.6.tar.gz(r-4.5-noble)bnviewer_0.1.6.tar.gz(r-4.4-noble)
bnviewer_0.1.6.tgz(r-4.4-emscripten)
bnviewer.pdf |bnviewer.html✨
bnviewer/json (API)
| # Install 'bnviewer' in R: |
| install.packages('bnviewer', repos = c('https://robson-fernandes.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/robson-fernandes/bnviewer/issues
bayesian-inferencebayesian-networkbayesian-networksprobabilistic-graphical-models
Last updated 4 years agofrom:924e6786c8. Checks:1 OK, 6 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 14 2025 |
| R-4.5-win | NOTE | Mar 14 2025 |
| R-4.5-mac | NOTE | Mar 14 2025 |
| R-4.5-linux | NOTE | Mar 14 2025 |
| R-4.4-win | NOTE | Mar 14 2025 |
| R-4.4-mac | NOTE | Mar 14 2025 |
| R-4.4-linux | NOTE | Mar 14 2025 |
Exports:bn.to.igraphmodel.to.structurestrength.viewerviewer
Dependencies:assertthatbase64encbnlearnbslibcachemcaretclasscliclockcodetoolscolorspacecommonmarkcpp11crayondata.tablediagramdigestdplyre1071evaluatefansifarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshtmlwidgetshttpuvigraphipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rlangrmarkdownrpartsassscalesshapeshinysourcetoolssparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitevisNetworkwithrxfunxtableyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Interactive Visualization of Bayesian Networks | bnviewer-package bnviewer |
| Bayesian Network to iGraph Model | bn.to.igraph |
| Model to Bayesian Network Structure | model.to.structure |
| Interactive Bayesian Network Strength Viewer | strength.viewer |
| Interactive Bayesian Network Viewer | viewer |
