randomNet: Random Graph Simulation
In robertness/gmsim: Simulations of Graphical Models.
Description
Usage
Arguments
Value
See Also
Description
This is a wrapper for the bnlearn packages *random.graph* which gives a
single graph with node names as numbers prefixed with "V", to match default
naming of variables in data.frames.
Usage
1
randomNet(num.vars, method)
Arguments
num.vars
Number of variables
method
A character string, possible values are ordered,
ic-dag, and melancon. See ?random.graph in bnlearn
Value
an object of class bn.
See Also
simGaussianNet, simBNFromCovMat,
simDAGFromCovMat, simNetCovariance, simMVNData,
randomNet, simSparsePrecision, simDAGFromCovMat
robertness/gmsim documentation built on May 27, 2019, 10:32 a.m.
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Description Usage Arguments Value See Also
Description
This is a wrapper for the bnlearn packages *random.graph* which gives a single graph with node names as numbers prefixed with "V", to match default naming of variables in data.frames.
Usage
1 | randomNet(num.vars, method)
|
Arguments
num.vars |
Number of variables |
method |
A character string, possible values are |
Value
an object of class bn.
See Also
simGaussianNet, simBNFromCovMat,
simDAGFromCovMat, simNetCovariance, simMVNData,
randomNet, simSparsePrecision, simDAGFromCovMat
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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