sim_DAG: Generate Multi-connected DAG
In robertness/lucy: Really useful things done with graphs.
Description
Usage
Arguments
Value
Examples
Description
An alternative to the scale-free DAG generating Barabasi algorithm in igraph..
This function currently only outputs one leaf node.
Usage
1
sim_DAG(n, method = "ic-dag")
Arguments
n
Number of nodes
method
the algorithm used in simulation. The default is Ide's and Cozman's DAG algorithm
in the bnlearn package, which generates DAGs with more connectivity.
See the random.graph function in bnlearn for details.
Value
An igraph object
Examples
1
2
robertness/lucy documentation built on May 27, 2019, 10:32 a.m.
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Description Usage Arguments Value Examples
Description
An alternative to the scale-free DAG generating Barabasi algorithm in igraph.. This function currently only outputs one leaf node.
Usage
1 | sim_DAG(n, method = "ic-dag")
|
Arguments
n |
Number of nodes |
method |
the algorithm used in simulation. The default is Ide's and Cozman's DAG algorithm in the bnlearn package, which generates DAGs with more connectivity. See the random.graph function in bnlearn for details. |
Value
An igraph object
Examples
1 2 |
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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