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sdnet: Soft-Discretization-Based Bayesian Network Inference
Fitting discrete Bayesian networks using soft-discretized data. Soft-discretization is based on mixture of normal distributions. Also implemented is a supervised Bayesian network learning employing Kullback-Leibler divergence. For more information see Balov (2013) <DOI:10.1186/1755-8794-6-S3-S1>.
Getting started
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Package details |
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| Author | Nikolay Balov |
| Maintainer | Nikolay Balov <nhbalov@gmail.com> |
| License | GPL (>= 2) |
| Version | 2.4.1 |
| URL | http://www.biomedcentral.com/1755-8794/6/S3/S1 |
| Package repository | View on CRAN |
| Installation |
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