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 |
| DOI: |
10.32614/CRAN.package.bnviewer |
| 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 |
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