melancon_boot: Bootstrap Learning Performed on a Gaussian Bayesian Network.
In robertness/gmsim: Simulations of Graphical Models.
Description
Usage
Format
Details
Description
The 15 node network structure was simulated with Melancon's and Philippe's
Uniform Random Acyclic Digraphs algorithm. This produces a highly connected DAG.
See ?random.graph for more information.
Usage
1
Format
A list with 2 items
Details
truth. An object of bn.fit, a simulated structure and parameter set.
boot. An object of bn.strength and data.frame, results of
model averaging applied to data simulated from truth.
robertness/gmsim documentation built on May 27, 2019, 10:32 a.m.
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Description Usage Format Details
Description
The 15 node network structure was simulated with Melancon's and Philippe's
Uniform Random Acyclic Digraphs algorithm. This produces a highly connected DAG.
See ?random.graph for more information.
Usage
1 |
Format
A list with 2 items
Details
truth. An object of
bn.fit, a simulated structure and parameter set.boot. An object of
bn.strengthanddata.frame, results of model averaging applied to data simulated from truth.
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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