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>.

Package details

AuthorNikolay Balov
MaintainerNikolay Balov <[email protected]>
LicenseGPL (>= 2)
Version2.4.1
URL http://www.biomedcentral.com/1755-8794/6/S3/S1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sdnet")

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sdnet documentation built on May 2, 2019, 12:43 a.m.