simulateDag {abn} | R Documentation |
Provided with node names, returns an abnDAG
.
Arc density refers to the chance of a node being connected to the node before it.
simulateDag(node.name, data.dists = NULL, edge.density = 0.5, verbose = FALSE)
node.name |
a vector of character giving the names of the nodes. It gives the size of the simulated DAG. |
data.dists |
named list corresponding to the |
edge.density |
number in |
verbose |
print more information on the run. |
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.
object of class abnDag
consisting of a named matrix, a named list giving the distribution for each node and an empty element for the data.
simdag <- simulateDag(node.name = c("a", "b", "c", "d"),
edge.density = 0.5,
data.dists = list(a = "gaussian",
b = "binomial",
c = "poisson",
d = "multinomial"))
## 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)