cnCatnetFromEdges: catNetwork from Edges
In sdnet: Soft-Discretization-Based Bayesian Network Inference
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
Creates a catNetwork object from list of nodes and edges.
Usage
1
cnCatnetFromEdges(nodes, edges, numcats=2)
Arguments
nodes
a vector of node names
edges
a list of node edges
numcats
an integer, the number of categories per node
Details
The function uses a list of nodes and directional edges to create a catNetwork with specified (fixed) number of node categories.
A random probability model is assigned, which can be changed later by cnSetProb for example.
Note that cnSetProb takes a given data sample and changes both the node categories and their conditional probabilities
according to it.
Value
A catNetwork object
Author(s)
N. Balov
See Also
cnNew, cnCatnetFromSif, cnSetProb
sdnet documentation built on May 2, 2019, 12:43 a.m.
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Description Usage Arguments Details Value Author(s) See Also
Description
Creates a catNetwork object from list of nodes and edges.
Usage
1 | cnCatnetFromEdges(nodes, edges, numcats=2)
|
Arguments
nodes |
a |
edges |
a |
numcats |
an |
Details
The function uses a list of nodes and directional edges to create a catNetwork with specified (fixed) number of node categories.
A random probability model is assigned, which can be changed later by cnSetProb for example.
Note that cnSetProb takes a given data sample and changes both the node categories and their conditional probabilities
according to it.
Value
A catNetwork object
Author(s)
N. Balov
See Also
cnNew, cnCatnetFromSif, cnSetProb
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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