isDAG

For a pair of node and parent lists, the function checks whether the DAG condition holds or not.

graphs

Structure learning and parameter estimation of discrete Bayesian networks using likelihood-based criteria.  Exhaustive search for fixed node orders and stochastic search of optimal orders via simulated annealing algorithm are implemented.

Nikolay Balov

catnet

Categorical Bayesian Network Inference

Peter Salzman

isDAG function

<dl><dt>lnodes</dt>
<dd>a list of nodes</dd><dt>lpars</dt>
<dd>a list of node parents</dd></dl>

Arguments

Author

Check Direct Acyclic Graph (DAG) Condition — isDAG

<dl>

<dt>lnodes</dt>
<dd>a list of nodes</dd>

<dt>lpars</dt>
<dd>a list of node parents</dd>

</dl>

isDAG: Check Direct Acyclic Graph (DAG) Condition

Description

Usage

Value

Arguments

Author

Details

Examples