abn: simulate-dag – R documentation

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abn

simulate-dag

Simulate DAGs

Description

Simulate a Directed Acyclic Graph (ABN) with arbitrary arc density.

Usage

simulateDag(node.name = NULL,
            data.dists = NULL, 
            edge.density = 0.5)

Arguments

`node.name`	a vector of character giving the names of the nodes. It gives the size of the simulated DAG.
`data.dists`	named list giving the distribution for each node in the network. If not provided it will be sample and returned.
`edge.density`	a real number between 0 and 1 giving the network density.

Details

This function generates DAGs by sampling triangular matrices and reorder columns and rows randomly. The network density (edge.density) is used column-wise as binomial sampling probability. Then the matrix is named using the user-provided names.

Value

An object of class abnDag a named matrix and a named list giving the distribution for each node.

Author(s)

Gilles Kratzer

References

Further information about abn can be found at:
http://r-bayesian-networks.org

Examples

## Example using Ozon entries:
dist <- list(Ozone="gaussian",   Solar.R="gaussian",  Wind="gaussian", 
             Temp="gaussian",    Month="gaussian",    Day="gaussian")
out <- simulateDag(node.name = names(dist), data.dists = dist, edge.density = 0.8)
plot(out)

abn

Modelling Multivariate Data with Additive Bayesian Networks

v2.5-0

GPL (>= 2)

Authors

Gilles Kratzer [aut, cre] (<https://orcid.org/0000-0002-5929-8935>), Fraser Iain Lewis [aut] (<https://orcid.org/0000-0003-4580-2712>), Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>), Marta Pittavino [ctb] (<https://orcid.org/0000-0002-1232-1034>)

Initial release

2021-04-21