cnMatParents: Network Parent Matrix
In sdnet: Soft-Discretization-Based Bayesian Network Inference
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Returns the binary matrix of parent-child relations of a catNetwork object.
Usage
1
cnMatParents(object, nodeorder)
Arguments
object
a catNetwork or catNetworkFit object
nodeorder
an integer vector specifying the order of the nodes to be taken
Details
The resulting matrix has a value 1 at row i and column j if
i-th node has j-th node as a parent, and 0 otherwise.
Value
A matrix
Author(s)
N. Balov
See Also
Examples
1
2
cnet <- cnRandomCatnet(numnodes=10, maxpars=3, numcats=2)
cnMatParents(object=cnet)
sdnet documentation built on May 2, 2019, 12:43 a.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
Description
Returns the binary matrix of parent-child relations of a catNetwork object.
Usage
1 | cnMatParents(object, nodeorder)
|
Arguments
object |
a |
nodeorder |
an integer |
Details
The resulting matrix has a value 1 at row i and column j if
i-th node has j-th node as a parent, and 0 otherwise.
Value
A matrix
Author(s)
N. Balov
See Also
Examples
1 2 | cnet <- cnRandomCatnet(numnodes=10, maxpars=3, numcats=2)
cnMatParents(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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