MakeArcSet: Take a learned Bayesian network structure (bnlearn object)...
In HamdaBinteAjmal/DBN4GRN: An R Package for Learning Sparse DBN Structures to Reverse Engineer Gene Regulatory Networks
Description
Usage
Arguments
Value
Description
Take a learned Bayesian network structure (bnlearn object) and
returns a data frame in which each row represents a pair of nodes conected in the network.
This function is used to retrieve the arcs from the network.
Usage
1
MakeArcSet(bn, data)
Arguments
bn
Bnlearn object Bayesian network
data
data.frame from which the Bayesian network structure is learned.
Value
arc_set a data.frame with two columns. First column shows the regulators, second column shows the targets.
HamdaBinteAjmal/DBN4GRN documentation built on Dec. 27, 2021, 2:08 p.m.
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Description Usage Arguments Value
Description
Take a learned Bayesian network structure (bnlearn object) and returns a data frame in which each row represents a pair of nodes conected in the network. This function is used to retrieve the arcs from the network.
Usage
1 | MakeArcSet(bn, data)
|
Arguments
bn |
Bnlearn object Bayesian network |
data |
data.frame from which the Bayesian network structure is learned. |
Value
arc_set a data.frame with two columns. First column shows the regulators, second column shows the targets.
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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