cnOrder: Network Node Order
In sdnet: Soft-Discretization-Based Bayesian Network Inference
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
The function returns an
order of the nodes of a network that is compatible with its parent structure.
Usage
1
cnOrder(object)
Arguments
object
a catNetwork or a list of node parents.
Details
An order is compatible with the parent structure of a network if
each node has as parents only nodes appearing earlier in that order.
That such an order exists is guaranteed by the fact that every catNetwork is a DAG (Directed Acyclic Graph). The result is one order out of, eventually, many possible.
Value
a list of node indices.
Author(s)
N. Balov
Examples
1
2
cnet <- cnRandomCatnet(numnodes=20, maxpars=3, numcats=2)
cnOrder(object=cnet)
sdnet documentation built on May 2, 2019, 12:43 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
The function returns an order of the nodes of a network that is compatible with its parent structure.
Usage
1 | cnOrder(object)
|
Arguments
object |
a |
Details
An order is compatible with the parent structure of a network if
each node has as parents only nodes appearing earlier in that order.
That such an order exists is guaranteed by the fact that every catNetwork is a DAG (Directed Acyclic Graph). The result is one order out of, eventually, many possible.
Value
a list of node indices.
Author(s)
N. Balov
Examples
1 2 | cnet <- cnRandomCatnet(numnodes=20, maxpars=3, numcats=2)
cnOrder(object=cnet)
|
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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