Covariance matrix of a DAG.
Compute the (true) covariance matrix of a generated DAG.
trueCov(dag, back.compatible = FALSE)
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
|
Covariance matrix.
This function can not be used to estimate the covariance matrix from an estimated DAG or corresponding data.
Markus Kalisch
randomDAG for generating a random DAG
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.