transformNetwork: Add TPBN parameters to a BoolNet network.
In davidkwca/inferTPBN: Infer Threshold PBNs from Timeseries Data.
Description
Usage
Arguments
Value
See Also
Examples
Description
Add perturbation probability, threshold parameters, and Boolean functions
to the network, to turn it into a TPBN.
Usage
1
transformNetwork(net, p = 0.01)
Arguments
net
A network generated by createNetwork.
p
Noise strength.
Value
A threshold PBN.
See Also
Examples
1
2
3
# Create a BoolNet network and transform it.
net <- generateRandomNKNetwork(5, 2, "homogeneous")
net <- transformNetwork(net)
davidkwca/inferTPBN documentation built on May 9, 2019, 12:53 p.m.
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Description Usage Arguments Value See Also Examples
Description
Add perturbation probability, threshold parameters, and Boolean functions to the network, to turn it into a TPBN.
Usage
1 | transformNetwork(net, p = 0.01)
|
Arguments
net |
A network generated by |
p |
Noise strength. |
Value
A threshold PBN.
See Also
Examples
1 2 3 | # Create a BoolNet network and transform it.
net <- generateRandomNKNetwork(5, 2, "homogeneous")
net <- transformNetwork(net)
|
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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