BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks
Dublin Core
Title
BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks
Subject
Bayesian network, belief propagation, R, shiny, gene networks, visualization
Description
The BayesNetBP package has been developed for probabilistic reasoning and visualization in Bayesian networks with nodes that are purely discrete, continuous or mixed
(discrete and continuous). Probabilistic reasoning enables a user to absorb information
into a Bayesian network and make queries about how the probabilities within the network
change in light of new information. The package was developed in the R programming
language and is freely available from the Comprehensive R Archive Network. A shiny app
with Cytoscape widgets provides an interactive interface for evidence absorption, queries,
and visualizations
(discrete and continuous). Probabilistic reasoning enables a user to absorb information
into a Bayesian network and make queries about how the probabilities within the network
change in light of new information. The package was developed in the R programming
language and is freely available from the Comprehensive R Archive Network. A shiny app
with Cytoscape widgets provides an interactive interface for evidence absorption, queries,
and visualizations
Creator
Han Yu
Source
https://www.jstatsoft.org/article/view/v094i03
Publisher
Roswell Park Comprehensive
Cancer Center
Cancer Center
Date
June 2020
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Han Yu, “BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks,” Repository Horizon University Indonesia, accessed April 20, 2025, https://repository.horizon.ac.id/items/show/8136.