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.

Version: 0.1.6
Depends: R (≥ 3.4)
Imports: visNetwork (≥ 2.0.4), bnlearn (≥ 4.3), methods, igraph (≥ 1.2.4), shiny, assertthat, caret, e1071, graphics
Published: 2020-09-14
Author: Robson Fernandes [aut, cre, cph]
Maintainer: Robson Fernandes <robson.fernandes at usp.br>
License: MIT + file LICENSE
URL: http://robsonfernandes.net/bnviewer/
NeedsCompilation: no
CRAN checks: bnviewer results

Downloads:

Reference manual: bnviewer.pdf
Package source: bnviewer_0.1.6.tar.gz
Windows binaries: r-devel: bnviewer_0.1.6.zip, r-release: bnviewer_0.1.6.zip, r-oldrel: bnviewer_0.1.6.zip
macOS binaries: r-release: bnviewer_0.1.6.tgz, r-oldrel: bnviewer_0.1.6.tgz
Old sources: bnviewer archive

Reverse dependencies:

Reverse imports: dbnlearn

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