R: Markov equivalence for regression chain graphs.

MarkEqRcg {ggm} | R Documentation

## Markov equivalence for regression chain graphs.

### Description

`MarkEqMag` determines whether two RCGs (or subclasses of RCGs) are Markov equivalent.

### Usage

    MarkEqRcg(amat, bmat)

### Arguments

`amat` | An adjacency matrix of an RCG or a graph that can be a `graphNEL` or an `igraph` object or a vector of length 3e, where e is the number of edges of the graph, that is a sequence of triples (type, node1label, node2label). The type of edge can be `"a"` (arrows from node1 to node2), `"b"` (arcs), and `"l"` (lines).
`bmat` | The same as `amat`.

### Details

The function checks whether the two graphs have the same skeleton and unshielded colliders.

### Value

"Markov Equivalent" or "NOT Markov Equivalent".

### Author(s)

Kayvan Sadeghi

### References

Wermuth, N. and Sadeghi, K. (2011). Sequences of regressions and their independences. TEST, To appear. http://arxiv.org/abs/1103.2523.

### See Also

`MarkEqMag`, `msep`

### Examples

    H1<-matrix(c(0,100,0,0,0,100,0,100,0,0,0,100,0,0,0,1,0,0,0,100,0,0,1,100,0),5,5)
    H2<-matrix(c(0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,100,0,0,1,100,0),5,5)
    H3<-matrix(c(0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0),5,5)
    #MarkEqRcg(H1,H2)
    #MarkEqRcg(H1,H3)
    #MarkEqRcg(H2,H3)

[Package ggm version 2.3 Index]