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.
Version: | 2.3.8 |
Depends: | R (≥ 3.0.2) |
Imports: | methods, stats, utils, graphics |
Published: | 2016-05-09 |
Author: | Nikolay Balov |
Maintainer: | Nikolay Balov <nhbalov at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://www.biomedcentral.com/1755-8794/6/S3/S1 |
NeedsCompilation: | yes |
CRAN checks: | sdnet results |
Reference manual: | sdnet.pdf |
Package source: | sdnet_2.3.8.tar.gz |
Windows binaries: | r-devel: sdnet_2.3.8.zip, r-release: sdnet_2.3.8.zip, r-oldrel: sdnet_2.3.8.zip |
OS X El Capitan binaries: | r-release: sdnet_2.3.8.tgz |
OS X Mavericks binaries: | r-oldrel: sdnet_2.3.8.tgz |
Old sources: | sdnet archive |
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