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:Robson Fernandes [aut, cre, cph]

bnviewer_0.1.6.tar.gz
bnviewer_0.1.6.zip(r-4.7)bnviewer_0.1.6.zip(r-4.6)bnviewer_0.1.6.zip(r-4.5)
bnviewer_0.1.6.tgz(r-4.6-any)bnviewer_0.1.6.tgz(r-4.5-any)
bnviewer_0.1.6.tar.gz(r-4.7-any)bnviewer_0.1.6.tar.gz(r-4.6-any)
bnviewer_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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

On CRAN:

Conda:

bayesian-inferencebayesian-networkbayesian-networksprobabilistic-graphical-models

4.86 score 7 stars 1 packages 69 scripts 407 downloads 4 exports 106 dependencies

Last updated from:924e6786c8. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE158
source / vignettesOK201
linux-release-x86_64NOTE142
macos-release-arm64NOTE153
macos-oldrel-arm64NOTE222
windows-develNOTE103
windows-releaseNOTE108
windows-oldrelNOTE80
wasm-releaseOK145

Exports:bn.to.igraphmodel.to.structurestrength.viewerviewer

Dependencies:assertthatbase64encbnlearnbslibcachemcaretclasscliclockcodetoolscommonmarkcpp11data.tablediagramdigestdplyre1071evaluatefarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshtmlwidgetshttpuvigraphipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemimeModelMetricsnlmennetnumDerivotelparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rlangrmarkdownrpartS7sassscalesshapeshinysourcetoolssparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitevisNetworkwithrxfunxtableyaml