| tianSigmaForComponent {SEMID} | R Documentation |
Globally identify the covariance matrix of a C-component
Description
The Tian decomposition of a mixed graph G allows one to globally identify the covariance matrices Sigma' of special subgraphs of G called c-components. This function takes the covariance matrix Sigma corresponding to G and a collection of node sets which specify the c-component, and returns the Sigma' corresponding to the c-component.
Usage
tianSigmaForComponent(Sigma, internal, incoming, topOrder)
Arguments
Sigma |
the covariance matrix for the mixed graph G |
internal |
an integer vector corresponding to the vertices of the C-component that are in the bidirected equivalence classes (if the graph is not-acyclic then these equivalence classes must be enlarged by combining two bidirected components if there are two vertices, one in each component, that are simultaneously on the same directed cycle). |
incoming |
the parents of vertices in internal that are not in the set internal themselves |
topOrder |
a topological ordering of c(internal, incoming) with respect to the graph G. For vertices in a strongly connected component the ordering is allowed to be arbitrary. |
Value
the new Sigma corresponding to the c-component