isDAG: Check Direct Acyclic Graph (DAG) Condition
In catnet: Categorical Bayesian Network Inference
isDAG R Documentation
Check Direct Acyclic Graph (DAG) Condition
Description
For a pair of node and parent lists, the function checks whether the DAG condition holds or not.
Usage
isDAG(lnodes, lpars)
Arguments
lnodes
a list of nodes
lpars
a list of node parents
Details
The DAG verification algorithm is based on the topological ordering of the graph nodes. If node ordering is not possible, the graph is not a DAG.
Value
A logical TRUE/FALSE value.
Author(s)
N. Balov
Examples
cnet <- cnRandomCatnet(numnodes=20, maxParents=3, numCategories=2)
isDAG(lnodes=cnet@nodes, lpars=cnet@parents)
catnet documentation built on Nov. 10, 2022, 5:08 p.m.
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| isDAG | R Documentation |
Check Direct Acyclic Graph (DAG) Condition
Description
For a pair of node and parent lists, the function checks whether the DAG condition holds or not.
Usage
isDAG(lnodes, lpars)
Arguments
lnodes |
a list of nodes |
lpars |
a list of node parents |
Details
The DAG verification algorithm is based on the topological ordering of the graph nodes. If node ordering is not possible, the graph is not a DAG.
Value
A logical TRUE/FALSE value.
Author(s)
N. Balov
Examples
cnet <- cnRandomCatnet(numnodes=20, maxParents=3, numCategories=2) isDAG(lnodes=cnet@nodes, lpars=cnet@parents)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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