build.junction.tree: build a JunctionTree.
In tavazzie/bnstructScore: Bayesian Network Structure Learning from Data with Missing Values
Description
Usage
Arguments
See Also
Examples
Description
Starting from the adjacency matrix of the directed acyclic graph of the network
contained in an InferenceEngine, build a JunctionTree for the network
and store it into an InferenceEngine.
Usage
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build.junction.tree(object, ...)
## S4 method for signature 'InferenceEngine'
build.junction.tree(object, ...)
Arguments
object
an InferenceEngine object.
...
potential further arguments for methods.
See Also
InferenceEngine
Examples
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## Not run:
dataset <- BNDataset("file.header", "file.data")
net <- BN(dataset)
eng <- InferenceEngine()
eng <- build.junction.tree(eng)
## End(Not run)
tavazzie/bnstructScore documentation built on Dec. 23, 2021, 7:47 a.m.
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Description Usage Arguments See Also Examples
Description
Starting from the adjacency matrix of the directed acyclic graph of the network contained in an InferenceEngine, build a JunctionTree for the network and store it into an InferenceEngine.
Usage
1 2 3 4 | build.junction.tree(object, ...)
## S4 method for signature 'InferenceEngine'
build.junction.tree(object, ...)
|
Arguments
object |
an |
... |
potential further arguments for methods. |
See Also
InferenceEngine
Examples
1 2 3 4 5 6 7 | ## Not run:
dataset <- BNDataset("file.header", "file.data")
net <- BN(dataset)
eng <- InferenceEngine()
eng <- build.junction.tree(eng)
## End(Not run)
|
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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