pcalg (version 2.7-12)

trueCov: Covariance matrix of a DAG.

Description

Compute the (true) covariance matrix of a generated DAG.

Usage

trueCov(dag, back.compatible = FALSE)

Value

Covariance matrix.

Arguments

dag

Graph object containing the DAG.

back.compatible

logical indicating if the data generated should be the same as with pcalg version 1.0-6 and earlier (where wgtMatrix() differed).

Author

Markus Kalisch

See Also

randomDAG for generating a random DAG

Examples

set.seed(123)
g <- randomDAG(n = 5, prob = 0.3) ## generate random DAG
if(require(Rgraphviz)) {
plot(g)
}

## Compute true covariance matrix
trueCov(g)

## For comparison:
## Estimate true covariance matrix after generating data from g
d <- rmvDAG(10000, g)
cov(d)