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bnviewer  

Bayesian Networks Interactive Visualization and Explainable Artificial Intelligence
View on CRAN: Click here


Download and install bnviewer package within the R console
Install from CRAN:
install.packages("bnviewer")

Install from Github:
library("remotes")
install_github("cran/bnviewer")

Install by package version:
library("remotes")
install_version("bnviewer", "0.1.6")



Attach the package and use:
library("bnviewer")
Maintained by
Robson Fernandes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-31
Latest Update: 2020-09-14
Description:
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.
How to cite:
Robson Fernandes (2018). bnviewer: Bayesian Networks Interactive Visualization and Explainable Artificial Intelligence. R package version 0.1.6, https://cran.r-project.org/web/packages/bnviewer. Accessed 11 Mar. 2026.
Previous versions and publish date:
0.1.0 (2018-07-31 11:40), 0.1.1 (2018-12-10 22:30), 0.1.2 (2019-03-31 16:40), 0.1.3 (2019-06-08 21:30), 0.1.4 (2019-08-21 09:40), 0.1.5 (2020-07-22 06:30)
Other packages that cited bnviewer R package
View bnviewer citation profile
Other R packages that bnviewer depends, imports, suggests or enhances
Complete documentation for bnviewer
Functions, R codes and Examples using the bnviewer R package
Some associated functions: bn.to.igraph . bnviewer-package . model.to.structure . strength.viewer . viewer . 
Some associated R codes: bn.to.igraph.R . bnviewer.R . model.to.structure.R . strength.viewer.R .  Full bnviewer package functions and examples
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