sdnet: Soft-Discretization-Based Bayesian Network Inference
Version 2.3.8

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.

Package details

AuthorNikolay Balov
Date of publication2016-05-09 06:25:13
MaintainerNikolay Balov <nhbalov@gmail.com>
LicenseGPL (>= 2)
Version2.3.8
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 29, 2017, 1:32 p.m.