swMATH ID: 33823
Software Authors: Han Yu, Rachael Blair, Janhavi Moharil, Andrew Yan
Description: R package BayesNetBP: Bayesian Network Belief Propagation. Belief propagation methods in Bayesian Networks to propagate evidence through the network. The implementation of these methods are based on the article: Cowell, RG (2005). Local Propagation in Conditional Gaussian Bayesian Networks <http://www.jmlr.org/papers/volume6/cowell05a/>. For details please see Yu et. al. (2020) BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks <doi:10.18637/jss.v094.i03>. The optional ’cyjShiny’ package for running the Shiny app is available at <https://github.com/cytoscape/cyjShiny>. Please see the example in the documentation of ’runBayesNetApp’ function for installing ’cyjShiny’ package from GitHub.
Homepage: https://cran.r-project.org/web/packages/BayesNetBP/index.html
Source Code:  https://github.com/cran/BayesNetBP
Dependencies: R
Keywords: jstatsoft.org; R; R package; Probabilistic Reasoning; Bayesian Networks; belief propagation; shiny; gene networks; visualization
Related Software: gRain; R; bnlearn; RHugin; ggplot2; SamIam; qgraph; bnmonitor; bnspatial; aGrUM; Rcpp; bnclassify; geneNetBP; gRbase; jti; sparta; CRAN; eqtl; R/qtl; qtlnet
Cited in: 0 Publications

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