layering: return the layering of the nodes.
In tavazzie/bnstructScore: Bayesian Network Structure Learning from Data with Missing Values
Description
Usage
Arguments
Value
Examples
Description
Compute the topological ordering of the nodes of a network, in order to divide the network in layers.
Usage
1
2
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Arguments
x
a BN object.
Value
a vector containing layers the nodes can be divided into.
Examples
1
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7
## Not run:
dataset <- BNDataset("file.header", "file.data")
x <- BN(dataset)
x <- learn.network(x, dataset)
layering(x)
## End(Not run)
tavazzie/bnstructScore documentation built on Dec. 23, 2021, 7:47 a.m.
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Description Usage Arguments Value Examples
Description
Compute the topological ordering of the nodes of a network, in order to divide the network in layers.
Usage
1 2 3 4 |
Arguments
x |
a |
Value
a vector containing layers the nodes can be divided into.
Examples
1 2 3 4 5 6 7 | ## Not run:
dataset <- BNDataset("file.header", "file.data")
x <- BN(dataset)
x <- learn.network(x, dataset)
layering(x)
## 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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