CPDAG

CPDAG-class

Base class implementing Complete Partially Directed Acyclic Graphs (CPDAGs)

classes

graphs

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>.

Nikolay Balov

sdnet

Soft-Discretization-Based Bayesian Network Inference

CPDAG-class function

<dl class="dl-horizontal">
	<dt><code>numnodes</code>:</dt><dd>an integer, the number of nodes</dd>
	<dt><code>nodes</code>:</dt><dd>a <code>vector</code> of node names</dd>
	<dt><code>edges</code>:</dt><dd>a <code>list</code> of graph edges</dd>
 </dl>

CPDAG-class: Class CPDAG

Description

Arguments

Slots

See Also