qpK2ParCor: Partial correlation coefficients
In qpgraph: Estimation of genetic and molecular regulatory networks from high-throughput genomics data

Description Usage Arguments Details Value Author(s) References See Also Examples

Obtains partial correlation coefficients from a given concentration matrix.

1	qpK2ParCor(K)

`K`	positive definite matrix, typically a concentration matrix.

This function applies cov2cor to the given concentration matrix and then changes the sign of the off-diagonal entries in order to obtain a partial correlation matrix.

A partial correlation matrix.

R. Castelo and A. Roverato

Lauritzen, S.L. Graphical models. Oxford University Press, 1996.

qpG2Sigma

require(graph)

n.var <- 5 # number of variables
set.seed(123)
g <- randomEGraph(as.character(1:n.var), p=0.15)

Sigma <- qpG2Sigma(g, rho=0.5)
K <- solve(Sigma)

round(qpK2ParCor(K), digits=2)

as(g, "matrix")