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r-sdnet

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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>.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-sdnet

Usage Tracking

2.4.1
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Downloads (Last 6 months): 0

About

Summary

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>.

Last Updated

Dec 4, 2019 at 15:43

License

GPL-2

Total Downloads

3

Supported Platforms

linux-64
macOS-64
win-64