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.
| Original language | English |
|---|---|
| Pages (from-to) | 1-31 |
| Number of pages | 31 |
| Journal | Journal of Statistical Software |
| Volume | 94 |
| DOIs | |
| State | Published - Jun 2020 |
Keywords
- Bayesian network
- Belief propagation
- Gene networks
- R
- Shiny
- Visualization
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