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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 |
| 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 (arm64): bnviewer_0.1.6.tgz, r-oldrel (arm64): bnviewer_0.1.6.tgz, r-release (x86_64): bnviewer_0.1.6.tgz, r-oldrel (x86_64): bnviewer_0.1.6.tgz |
| Old sources: | bnviewer archive |
| Reverse imports: | dbnlearn |
| Reverse suggests: | CBNplot |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.