Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Han Yu, Janhavi Moharil, Rachael Hageman Blair
Title: BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks
Abstract: 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.

Page views:: 2557. Submitted: 2017-05-12. Published: 2020-06-30.
Paper: BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks     Download PDF (Downloads: 1011)
Supplements:
BayesNetBP_1.5.5.tar.gz: R source package Download (Downloads: 54; 129KB)
v94i03.R: R replication code Download (Downloads: 65; 6KB)
liverqtl.rda: Supplementary data (R binary format) Download (Downloads: 46; 4MB)

DOI: 10.18637/jss.v094.i03

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.