cnCatnetFromEdges: catNetwork from Edges
In catnet: Categorical Bayesian Network Inference
cnCatnetFromEdges R Documentation
catNetwork from Edges
Description
Creates a catNetwork object from list of nodes and edges.
Usage
cnCatnetFromEdges(nodes, edges, numCategories=2)
Arguments
nodes
a vector of node names
edges
a list of node edges
numCategories
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
catnet documentation built on Nov. 10, 2022, 5:08 p.m.
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| cnCatnetFromEdges | R Documentation |
catNetwork from Edges
Description
Creates a catNetwork object from list of nodes and edges.
Usage
cnCatnetFromEdges(nodes, edges, numCategories=2)
Arguments
nodes |
a |
edges |
a |
numCategories |
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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